mirror of
https://mau.dev/maunium/synapse.git
synced 2024-10-01 01:36:05 -04:00
663 lines
27 KiB
Python
663 lines
27 KiB
Python
# -*- coding: utf-8 -*-
|
|
# Copyright 2014-2016 OpenMarket Ltd
|
|
# Copyright 2018-2019 New Vector Ltd
|
|
# Copyright 2019 The Matrix.org Foundation C.I.C.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
import logging
|
|
from collections import deque, namedtuple
|
|
from typing import Iterable, List, Optional, Tuple
|
|
|
|
from six import iteritems
|
|
from six.moves import range
|
|
|
|
import attr
|
|
from prometheus_client import Counter, Histogram
|
|
|
|
from twisted.internet import defer
|
|
|
|
from synapse.api.constants import EventTypes
|
|
from synapse.events import FrozenEvent
|
|
from synapse.events.snapshot import EventContext
|
|
from synapse.logging.context import PreserveLoggingContext, make_deferred_yieldable
|
|
from synapse.metrics.background_process_metrics import run_as_background_process
|
|
from synapse.state import StateResolutionStore
|
|
from synapse.storage.data_stores import DataStores
|
|
from synapse.types import StateMap
|
|
from synapse.util.async_helpers import ObservableDeferred
|
|
from synapse.util.metrics import Measure
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
# The number of times we are recalculating the current state
|
|
state_delta_counter = Counter("synapse_storage_events_state_delta", "")
|
|
|
|
# The number of times we are recalculating state when there is only a
|
|
# single forward extremity
|
|
state_delta_single_event_counter = Counter(
|
|
"synapse_storage_events_state_delta_single_event", ""
|
|
)
|
|
|
|
# The number of times we are reculating state when we could have resonably
|
|
# calculated the delta when we calculated the state for an event we were
|
|
# persisting.
|
|
state_delta_reuse_delta_counter = Counter(
|
|
"synapse_storage_events_state_delta_reuse_delta", ""
|
|
)
|
|
|
|
# The number of forward extremities for each new event.
|
|
forward_extremities_counter = Histogram(
|
|
"synapse_storage_events_forward_extremities_persisted",
|
|
"Number of forward extremities for each new event",
|
|
buckets=(1, 2, 3, 5, 7, 10, 15, 20, 50, 100, 200, 500, "+Inf"),
|
|
)
|
|
|
|
# The number of stale forward extremities for each new event. Stale extremities
|
|
# are those that were in the previous set of extremities as well as the new.
|
|
stale_forward_extremities_counter = Histogram(
|
|
"synapse_storage_events_stale_forward_extremities_persisted",
|
|
"Number of unchanged forward extremities for each new event",
|
|
buckets=(0, 1, 2, 3, 5, 7, 10, 15, 20, 50, 100, 200, 500, "+Inf"),
|
|
)
|
|
|
|
|
|
@attr.s(slots=True, frozen=True)
|
|
class DeltaState:
|
|
"""Deltas to use to update the `current_state_events` table.
|
|
|
|
Attributes:
|
|
to_delete: List of type/state_keys to delete from current state
|
|
to_insert: Map of state to upsert into current state
|
|
"""
|
|
|
|
to_delete = attr.ib(type=List[Tuple[str, str]])
|
|
to_insert = attr.ib(type=StateMap[str])
|
|
|
|
|
|
class _EventPeristenceQueue(object):
|
|
"""Queues up events so that they can be persisted in bulk with only one
|
|
concurrent transaction per room.
|
|
"""
|
|
|
|
_EventPersistQueueItem = namedtuple(
|
|
"_EventPersistQueueItem", ("events_and_contexts", "backfilled", "deferred")
|
|
)
|
|
|
|
def __init__(self):
|
|
self._event_persist_queues = {}
|
|
self._currently_persisting_rooms = set()
|
|
|
|
def add_to_queue(self, room_id, events_and_contexts, backfilled):
|
|
"""Add events to the queue, with the given persist_event options.
|
|
|
|
NB: due to the normal usage pattern of this method, it does *not*
|
|
follow the synapse logcontext rules, and leaves the logcontext in
|
|
place whether or not the returned deferred is ready.
|
|
|
|
Args:
|
|
room_id (str):
|
|
events_and_contexts (list[(EventBase, EventContext)]):
|
|
backfilled (bool):
|
|
|
|
Returns:
|
|
defer.Deferred: a deferred which will resolve once the events are
|
|
persisted. Runs its callbacks *without* a logcontext.
|
|
"""
|
|
queue = self._event_persist_queues.setdefault(room_id, deque())
|
|
if queue:
|
|
# if the last item in the queue has the same `backfilled` setting,
|
|
# we can just add these new events to that item.
|
|
end_item = queue[-1]
|
|
if end_item.backfilled == backfilled:
|
|
end_item.events_and_contexts.extend(events_and_contexts)
|
|
return end_item.deferred.observe()
|
|
|
|
deferred = ObservableDeferred(defer.Deferred(), consumeErrors=True)
|
|
|
|
queue.append(
|
|
self._EventPersistQueueItem(
|
|
events_and_contexts=events_and_contexts,
|
|
backfilled=backfilled,
|
|
deferred=deferred,
|
|
)
|
|
)
|
|
|
|
return deferred.observe()
|
|
|
|
def handle_queue(self, room_id, per_item_callback):
|
|
"""Attempts to handle the queue for a room if not already being handled.
|
|
|
|
The given callback will be invoked with for each item in the queue,
|
|
of type _EventPersistQueueItem. The per_item_callback will continuously
|
|
be called with new items, unless the queue becomnes empty. The return
|
|
value of the function will be given to the deferreds waiting on the item,
|
|
exceptions will be passed to the deferreds as well.
|
|
|
|
This function should therefore be called whenever anything is added
|
|
to the queue.
|
|
|
|
If another callback is currently handling the queue then it will not be
|
|
invoked.
|
|
"""
|
|
|
|
if room_id in self._currently_persisting_rooms:
|
|
return
|
|
|
|
self._currently_persisting_rooms.add(room_id)
|
|
|
|
async def handle_queue_loop():
|
|
try:
|
|
queue = self._get_drainining_queue(room_id)
|
|
for item in queue:
|
|
try:
|
|
ret = await per_item_callback(item)
|
|
except Exception:
|
|
with PreserveLoggingContext():
|
|
item.deferred.errback()
|
|
else:
|
|
with PreserveLoggingContext():
|
|
item.deferred.callback(ret)
|
|
finally:
|
|
queue = self._event_persist_queues.pop(room_id, None)
|
|
if queue:
|
|
self._event_persist_queues[room_id] = queue
|
|
self._currently_persisting_rooms.discard(room_id)
|
|
|
|
# set handle_queue_loop off in the background
|
|
run_as_background_process("persist_events", handle_queue_loop)
|
|
|
|
def _get_drainining_queue(self, room_id):
|
|
queue = self._event_persist_queues.setdefault(room_id, deque())
|
|
|
|
try:
|
|
while True:
|
|
yield queue.popleft()
|
|
except IndexError:
|
|
# Queue has been drained.
|
|
pass
|
|
|
|
|
|
class EventsPersistenceStorage(object):
|
|
"""High level interface for handling persisting newly received events.
|
|
|
|
Takes care of batching up events by room, and calculating the necessary
|
|
current state and forward extremity changes.
|
|
"""
|
|
|
|
def __init__(self, hs, stores: DataStores):
|
|
# We ultimately want to split out the state store from the main store,
|
|
# so we use separate variables here even though they point to the same
|
|
# store for now.
|
|
self.main_store = stores.main
|
|
self.state_store = stores.state
|
|
|
|
self._clock = hs.get_clock()
|
|
self.is_mine_id = hs.is_mine_id
|
|
self._event_persist_queue = _EventPeristenceQueue()
|
|
self._state_resolution_handler = hs.get_state_resolution_handler()
|
|
|
|
@defer.inlineCallbacks
|
|
def persist_events(
|
|
self,
|
|
events_and_contexts: List[Tuple[FrozenEvent, EventContext]],
|
|
backfilled: bool = False,
|
|
):
|
|
"""
|
|
Write events to the database
|
|
Args:
|
|
events_and_contexts: list of tuples of (event, context)
|
|
backfilled: Whether the results are retrieved from federation
|
|
via backfill or not. Used to determine if they're "new" events
|
|
which might update the current state etc.
|
|
|
|
Returns:
|
|
Deferred[int]: the stream ordering of the latest persisted event
|
|
"""
|
|
partitioned = {}
|
|
for event, ctx in events_and_contexts:
|
|
partitioned.setdefault(event.room_id, []).append((event, ctx))
|
|
|
|
deferreds = []
|
|
for room_id, evs_ctxs in iteritems(partitioned):
|
|
d = self._event_persist_queue.add_to_queue(
|
|
room_id, evs_ctxs, backfilled=backfilled
|
|
)
|
|
deferreds.append(d)
|
|
|
|
for room_id in partitioned:
|
|
self._maybe_start_persisting(room_id)
|
|
|
|
yield make_deferred_yieldable(
|
|
defer.gatherResults(deferreds, consumeErrors=True)
|
|
)
|
|
|
|
max_persisted_id = yield self.main_store.get_current_events_token()
|
|
|
|
return max_persisted_id
|
|
|
|
@defer.inlineCallbacks
|
|
def persist_event(
|
|
self, event: FrozenEvent, context: EventContext, backfilled: bool = False
|
|
):
|
|
"""
|
|
Returns:
|
|
Deferred[Tuple[int, int]]: the stream ordering of ``event``,
|
|
and the stream ordering of the latest persisted event
|
|
"""
|
|
deferred = self._event_persist_queue.add_to_queue(
|
|
event.room_id, [(event, context)], backfilled=backfilled
|
|
)
|
|
|
|
self._maybe_start_persisting(event.room_id)
|
|
|
|
yield make_deferred_yieldable(deferred)
|
|
|
|
max_persisted_id = yield self.main_store.get_current_events_token()
|
|
return (event.internal_metadata.stream_ordering, max_persisted_id)
|
|
|
|
def _maybe_start_persisting(self, room_id: str):
|
|
async def persisting_queue(item):
|
|
with Measure(self._clock, "persist_events"):
|
|
await self._persist_events(
|
|
item.events_and_contexts, backfilled=item.backfilled
|
|
)
|
|
|
|
self._event_persist_queue.handle_queue(room_id, persisting_queue)
|
|
|
|
async def _persist_events(
|
|
self,
|
|
events_and_contexts: List[Tuple[FrozenEvent, EventContext]],
|
|
backfilled: bool = False,
|
|
):
|
|
"""Calculates the change to current state and forward extremities, and
|
|
persists the given events and with those updates.
|
|
"""
|
|
if not events_and_contexts:
|
|
return
|
|
|
|
chunks = [
|
|
events_and_contexts[x : x + 100]
|
|
for x in range(0, len(events_and_contexts), 100)
|
|
]
|
|
|
|
for chunk in chunks:
|
|
# We can't easily parallelize these since different chunks
|
|
# might contain the same event. :(
|
|
|
|
# NB: Assumes that we are only persisting events for one room
|
|
# at a time.
|
|
|
|
# map room_id->list[event_ids] giving the new forward
|
|
# extremities in each room
|
|
new_forward_extremeties = {}
|
|
|
|
# map room_id->(type,state_key)->event_id tracking the full
|
|
# state in each room after adding these events.
|
|
# This is simply used to prefill the get_current_state_ids
|
|
# cache
|
|
current_state_for_room = {}
|
|
|
|
# map room_id->(to_delete, to_insert) where to_delete is a list
|
|
# of type/state keys to remove from current state, and to_insert
|
|
# is a map (type,key)->event_id giving the state delta in each
|
|
# room
|
|
state_delta_for_room = {}
|
|
|
|
if not backfilled:
|
|
with Measure(self._clock, "_calculate_state_and_extrem"):
|
|
# Work out the new "current state" for each room.
|
|
# We do this by working out what the new extremities are and then
|
|
# calculating the state from that.
|
|
events_by_room = {}
|
|
for event, context in chunk:
|
|
events_by_room.setdefault(event.room_id, []).append(
|
|
(event, context)
|
|
)
|
|
|
|
for room_id, ev_ctx_rm in iteritems(events_by_room):
|
|
latest_event_ids = await self.main_store.get_latest_event_ids_in_room(
|
|
room_id
|
|
)
|
|
new_latest_event_ids = await self._calculate_new_extremities(
|
|
room_id, ev_ctx_rm, latest_event_ids
|
|
)
|
|
|
|
latest_event_ids = set(latest_event_ids)
|
|
if new_latest_event_ids == latest_event_ids:
|
|
# No change in extremities, so no change in state
|
|
continue
|
|
|
|
# there should always be at least one forward extremity.
|
|
# (except during the initial persistence of the send_join
|
|
# results, in which case there will be no existing
|
|
# extremities, so we'll `continue` above and skip this bit.)
|
|
assert new_latest_event_ids, "No forward extremities left!"
|
|
|
|
new_forward_extremeties[room_id] = new_latest_event_ids
|
|
|
|
len_1 = (
|
|
len(latest_event_ids) == 1
|
|
and len(new_latest_event_ids) == 1
|
|
)
|
|
if len_1:
|
|
all_single_prev_not_state = all(
|
|
len(event.prev_event_ids()) == 1
|
|
and not event.is_state()
|
|
for event, ctx in ev_ctx_rm
|
|
)
|
|
# Don't bother calculating state if they're just
|
|
# a long chain of single ancestor non-state events.
|
|
if all_single_prev_not_state:
|
|
continue
|
|
|
|
state_delta_counter.inc()
|
|
if len(new_latest_event_ids) == 1:
|
|
state_delta_single_event_counter.inc()
|
|
|
|
# This is a fairly handwavey check to see if we could
|
|
# have guessed what the delta would have been when
|
|
# processing one of these events.
|
|
# What we're interested in is if the latest extremities
|
|
# were the same when we created the event as they are
|
|
# now. When this server creates a new event (as opposed
|
|
# to receiving it over federation) it will use the
|
|
# forward extremities as the prev_events, so we can
|
|
# guess this by looking at the prev_events and checking
|
|
# if they match the current forward extremities.
|
|
for ev, _ in ev_ctx_rm:
|
|
prev_event_ids = set(ev.prev_event_ids())
|
|
if latest_event_ids == prev_event_ids:
|
|
state_delta_reuse_delta_counter.inc()
|
|
break
|
|
|
|
logger.info("Calculating state delta for room %s", room_id)
|
|
with Measure(
|
|
self._clock, "persist_events.get_new_state_after_events"
|
|
):
|
|
res = await self._get_new_state_after_events(
|
|
room_id,
|
|
ev_ctx_rm,
|
|
latest_event_ids,
|
|
new_latest_event_ids,
|
|
)
|
|
current_state, delta_ids = res
|
|
|
|
# If either are not None then there has been a change,
|
|
# and we need to work out the delta (or use that
|
|
# given)
|
|
if delta_ids is not None:
|
|
# If there is a delta we know that we've
|
|
# only added or replaced state, never
|
|
# removed keys entirely.
|
|
state_delta_for_room[room_id] = DeltaState([], delta_ids)
|
|
elif current_state is not None:
|
|
with Measure(
|
|
self._clock, "persist_events.calculate_state_delta"
|
|
):
|
|
delta = await self._calculate_state_delta(
|
|
room_id, current_state
|
|
)
|
|
state_delta_for_room[room_id] = delta
|
|
|
|
# If we have the current_state then lets prefill
|
|
# the cache with it.
|
|
if current_state is not None:
|
|
current_state_for_room[room_id] = current_state
|
|
|
|
await self.main_store._persist_events_and_state_updates(
|
|
chunk,
|
|
current_state_for_room=current_state_for_room,
|
|
state_delta_for_room=state_delta_for_room,
|
|
new_forward_extremeties=new_forward_extremeties,
|
|
backfilled=backfilled,
|
|
)
|
|
|
|
async def _calculate_new_extremities(
|
|
self,
|
|
room_id: str,
|
|
event_contexts: List[Tuple[FrozenEvent, EventContext]],
|
|
latest_event_ids: List[str],
|
|
):
|
|
"""Calculates the new forward extremities for a room given events to
|
|
persist.
|
|
|
|
Assumes that we are only persisting events for one room at a time.
|
|
"""
|
|
|
|
# we're only interested in new events which aren't outliers and which aren't
|
|
# being rejected.
|
|
new_events = [
|
|
event
|
|
for event, ctx in event_contexts
|
|
if not event.internal_metadata.is_outlier()
|
|
and not ctx.rejected
|
|
and not event.internal_metadata.is_soft_failed()
|
|
]
|
|
|
|
latest_event_ids = set(latest_event_ids)
|
|
|
|
# start with the existing forward extremities
|
|
result = set(latest_event_ids)
|
|
|
|
# add all the new events to the list
|
|
result.update(event.event_id for event in new_events)
|
|
|
|
# Now remove all events which are prev_events of any of the new events
|
|
result.difference_update(
|
|
e_id for event in new_events for e_id in event.prev_event_ids()
|
|
)
|
|
|
|
# Remove any events which are prev_events of any existing events.
|
|
existing_prevs = await self.main_store._get_events_which_are_prevs(result)
|
|
result.difference_update(existing_prevs)
|
|
|
|
# Finally handle the case where the new events have soft-failed prev
|
|
# events. If they do we need to remove them and their prev events,
|
|
# otherwise we end up with dangling extremities.
|
|
existing_prevs = await self.main_store._get_prevs_before_rejected(
|
|
e_id for event in new_events for e_id in event.prev_event_ids()
|
|
)
|
|
result.difference_update(existing_prevs)
|
|
|
|
# We only update metrics for events that change forward extremities
|
|
# (e.g. we ignore backfill/outliers/etc)
|
|
if result != latest_event_ids:
|
|
forward_extremities_counter.observe(len(result))
|
|
stale = latest_event_ids & result
|
|
stale_forward_extremities_counter.observe(len(stale))
|
|
|
|
return result
|
|
|
|
async def _get_new_state_after_events(
|
|
self,
|
|
room_id: str,
|
|
events_context: List[Tuple[FrozenEvent, EventContext]],
|
|
old_latest_event_ids: Iterable[str],
|
|
new_latest_event_ids: Iterable[str],
|
|
) -> Tuple[Optional[StateMap[str]], Optional[StateMap[str]]]:
|
|
"""Calculate the current state dict after adding some new events to
|
|
a room
|
|
|
|
Args:
|
|
room_id (str):
|
|
room to which the events are being added. Used for logging etc
|
|
|
|
events_context (list[(EventBase, EventContext)]):
|
|
events and contexts which are being added to the room
|
|
|
|
old_latest_event_ids (iterable[str]):
|
|
the old forward extremities for the room.
|
|
|
|
new_latest_event_ids (iterable[str]):
|
|
the new forward extremities for the room.
|
|
|
|
Returns:
|
|
Returns a tuple of two state maps, the first being the full new current
|
|
state and the second being the delta to the existing current state.
|
|
If both are None then there has been no change.
|
|
|
|
If there has been a change then we only return the delta if its
|
|
already been calculated. Conversely if we do know the delta then
|
|
the new current state is only returned if we've already calculated
|
|
it.
|
|
"""
|
|
# map from state_group to ((type, key) -> event_id) state map
|
|
state_groups_map = {}
|
|
|
|
# Map from (prev state group, new state group) -> delta state dict
|
|
state_group_deltas = {}
|
|
|
|
for ev, ctx in events_context:
|
|
if ctx.state_group is None:
|
|
# This should only happen for outlier events.
|
|
if not ev.internal_metadata.is_outlier():
|
|
raise Exception(
|
|
"Context for new event %s has no state "
|
|
"group" % (ev.event_id,)
|
|
)
|
|
continue
|
|
|
|
if ctx.state_group in state_groups_map:
|
|
continue
|
|
|
|
# We're only interested in pulling out state that has already
|
|
# been cached in the context. We'll pull stuff out of the DB later
|
|
# if necessary.
|
|
current_state_ids = ctx.get_cached_current_state_ids()
|
|
if current_state_ids is not None:
|
|
state_groups_map[ctx.state_group] = current_state_ids
|
|
|
|
if ctx.prev_group:
|
|
state_group_deltas[(ctx.prev_group, ctx.state_group)] = ctx.delta_ids
|
|
|
|
# We need to map the event_ids to their state groups. First, let's
|
|
# check if the event is one we're persisting, in which case we can
|
|
# pull the state group from its context.
|
|
# Otherwise we need to pull the state group from the database.
|
|
|
|
# Set of events we need to fetch groups for. (We know none of the old
|
|
# extremities are going to be in events_context).
|
|
missing_event_ids = set(old_latest_event_ids)
|
|
|
|
event_id_to_state_group = {}
|
|
for event_id in new_latest_event_ids:
|
|
# First search in the list of new events we're adding.
|
|
for ev, ctx in events_context:
|
|
if event_id == ev.event_id and ctx.state_group is not None:
|
|
event_id_to_state_group[event_id] = ctx.state_group
|
|
break
|
|
else:
|
|
# If we couldn't find it, then we'll need to pull
|
|
# the state from the database
|
|
missing_event_ids.add(event_id)
|
|
|
|
if missing_event_ids:
|
|
# Now pull out the state groups for any missing events from DB
|
|
event_to_groups = await self.main_store._get_state_group_for_events(
|
|
missing_event_ids
|
|
)
|
|
event_id_to_state_group.update(event_to_groups)
|
|
|
|
# State groups of old_latest_event_ids
|
|
old_state_groups = set(
|
|
event_id_to_state_group[evid] for evid in old_latest_event_ids
|
|
)
|
|
|
|
# State groups of new_latest_event_ids
|
|
new_state_groups = set(
|
|
event_id_to_state_group[evid] for evid in new_latest_event_ids
|
|
)
|
|
|
|
# If they old and new groups are the same then we don't need to do
|
|
# anything.
|
|
if old_state_groups == new_state_groups:
|
|
return None, None
|
|
|
|
if len(new_state_groups) == 1 and len(old_state_groups) == 1:
|
|
# If we're going from one state group to another, lets check if
|
|
# we have a delta for that transition. If we do then we can just
|
|
# return that.
|
|
|
|
new_state_group = next(iter(new_state_groups))
|
|
old_state_group = next(iter(old_state_groups))
|
|
|
|
delta_ids = state_group_deltas.get((old_state_group, new_state_group), None)
|
|
if delta_ids is not None:
|
|
# We have a delta from the existing to new current state,
|
|
# so lets just return that. If we happen to already have
|
|
# the current state in memory then lets also return that,
|
|
# but it doesn't matter if we don't.
|
|
new_state = state_groups_map.get(new_state_group)
|
|
return new_state, delta_ids
|
|
|
|
# Now that we have calculated new_state_groups we need to get
|
|
# their state IDs so we can resolve to a single state set.
|
|
missing_state = new_state_groups - set(state_groups_map)
|
|
if missing_state:
|
|
group_to_state = await self.state_store._get_state_for_groups(missing_state)
|
|
state_groups_map.update(group_to_state)
|
|
|
|
if len(new_state_groups) == 1:
|
|
# If there is only one state group, then we know what the current
|
|
# state is.
|
|
return state_groups_map[new_state_groups.pop()], None
|
|
|
|
# Ok, we need to defer to the state handler to resolve our state sets.
|
|
|
|
state_groups = {sg: state_groups_map[sg] for sg in new_state_groups}
|
|
|
|
events_map = {ev.event_id: ev for ev, _ in events_context}
|
|
|
|
# We need to get the room version, which is in the create event.
|
|
# Normally that'd be in the database, but its also possible that we're
|
|
# currently trying to persist it.
|
|
room_version = None
|
|
for ev, _ in events_context:
|
|
if ev.type == EventTypes.Create and ev.state_key == "":
|
|
room_version = ev.content.get("room_version", "1")
|
|
break
|
|
|
|
if not room_version:
|
|
room_version = await self.main_store.get_room_version(room_id)
|
|
|
|
logger.debug("calling resolve_state_groups from preserve_events")
|
|
res = await self._state_resolution_handler.resolve_state_groups(
|
|
room_id,
|
|
room_version,
|
|
state_groups,
|
|
events_map,
|
|
state_res_store=StateResolutionStore(self.main_store),
|
|
)
|
|
|
|
return res.state, None
|
|
|
|
async def _calculate_state_delta(
|
|
self, room_id: str, current_state: StateMap[str]
|
|
) -> DeltaState:
|
|
"""Calculate the new state deltas for a room.
|
|
|
|
Assumes that we are only persisting events for one room at a time.
|
|
"""
|
|
existing_state = await self.main_store.get_current_state_ids(room_id)
|
|
|
|
to_delete = [key for key in existing_state if key not in current_state]
|
|
|
|
to_insert = {
|
|
key: ev_id
|
|
for key, ev_id in iteritems(current_state)
|
|
if ev_id != existing_state.get(key)
|
|
}
|
|
|
|
return DeltaState(to_delete=to_delete, to_insert=to_insert)
|