2014-08-12 10:10:52 -04:00
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# -*- coding: utf-8 -*-
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2016-01-06 23:26:29 -05:00
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# Copyright 2014-2016 OpenMarket Ltd
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2018-08-07 10:22:40 -04:00
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# Copyright 2018 New Vector Ltd
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2014-08-12 10:10:52 -04:00
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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2018-07-09 02:09:20 -04:00
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import logging
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from collections import namedtuple
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2018-08-07 10:22:40 -04:00
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from six import iteritems, itervalues
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2018-07-09 02:09:20 -04:00
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2018-09-03 10:13:17 -04:00
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import attr
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2018-07-09 02:09:20 -04:00
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from frozendict import frozendict
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2019-06-17 11:29:00 -04:00
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from prometheus_client import Histogram
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2018-07-09 02:09:20 -04:00
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2014-08-12 10:10:52 -04:00
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from twisted.internet import defer
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2019-04-01 05:24:38 -04:00
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from synapse.api.constants import EventTypes
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from synapse.api.room_versions import KNOWN_ROOM_VERSIONS, StateResolutionVersions
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2014-12-16 10:59:17 -05:00
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from synapse.events.snapshot import EventContext
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2019-07-03 10:07:04 -04:00
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from synapse.logging.utils import log_function
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2018-09-03 10:13:17 -04:00
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from synapse.state import v1, v2
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2018-08-10 09:50:21 -04:00
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from synapse.util.async_helpers import Linearizer
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2018-08-20 08:01:46 -04:00
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from synapse.util.caches import get_cache_factor_for
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from synapse.util.caches.expiringcache import ExpiringCache
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2019-10-03 12:47:20 -04:00
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from synapse.util.metrics import Measure, measure_func
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2018-05-24 14:58:21 -04:00
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2014-08-12 10:10:52 -04:00
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logger = logging.getLogger(__name__)
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2019-06-17 11:29:00 -04:00
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# Metrics for number of state groups involved in a resolution.
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state_groups_histogram = Histogram(
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2019-06-19 06:49:39 -04:00
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"synapse_state_number_state_groups_in_resolution",
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"Number of state groups used when performing a state resolution",
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buckets=(1, 2, 3, 5, 7, 10, 15, 20, 50, 100, 200, 500, "+Inf"),
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)
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2014-08-12 10:10:52 -04:00
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KeyStateTuple = namedtuple("KeyStateTuple", ("context", "type", "state_key"))
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2018-08-20 08:01:46 -04:00
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SIZE_OF_CACHE = 100000 * get_cache_factor_for("state_cache")
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2016-03-22 11:31:13 -04:00
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EVICTION_TIMEOUT_SECONDS = 60 * 60
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2015-02-06 11:52:22 -05:00
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2016-08-31 10:53:19 -04:00
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_NEXT_STATE_ID = 1
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2017-01-13 08:16:54 -05:00
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POWER_KEY = (EventTypes.PowerLevels, "")
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2016-08-31 10:53:19 -04:00
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def _gen_state_id():
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global _NEXT_STATE_ID
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s = "X%d" % (_NEXT_STATE_ID,)
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_NEXT_STATE_ID += 1
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return s
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2015-02-06 11:08:13 -05:00
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class _StateCacheEntry(object):
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__slots__ = ["state", "state_group", "state_id", "prev_group", "delta_ids"]
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def __init__(self, state, state_group, prev_group=None, delta_ids=None):
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# dict[(str, str), str] map from (type, state_key) to event_id
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self.state = frozendict(state)
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# the ID of a state group if one and only one is involved.
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# otherwise, None otherwise?
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self.state_group = state_group
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self.prev_group = prev_group
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self.delta_ids = frozendict(delta_ids) if delta_ids is not None else None
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2016-08-31 10:53:19 -04:00
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# The `state_id` is a unique ID we generate that can be used as ID for
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# this collection of state. Usually this would be the same as the
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# state group, but on worker instances we can't generate a new state
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# group each time we resolve state, so we generate a separate one that
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# isn't persisted and is used solely for caches.
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# `state_id` is either a state_group (and so an int) or a string. This
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# ensures we don't accidentally persist a state_id as a stateg_group
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if state_group:
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self.state_id = state_group
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else:
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self.state_id = _gen_state_id()
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2017-01-16 08:48:04 -05:00
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def __len__(self):
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return len(self.state)
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2015-02-06 11:08:13 -05:00
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2014-08-12 10:10:52 -04:00
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class StateHandler(object):
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"""Fetches bits of state from the stores, and does state resolution
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where necessary
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2014-08-12 10:10:52 -04:00
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"""
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def __init__(self, hs):
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self.clock = hs.get_clock()
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self.store = hs.get_datastore()
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self.state_store = hs.get_storage().state
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self.hs = hs
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self._state_resolution_handler = hs.get_state_resolution_handler()
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2014-10-17 13:56:42 -04:00
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@defer.inlineCallbacks
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2019-06-20 05:32:02 -04:00
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def get_current_state(
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self, room_id, event_type=None, state_key="", latest_event_ids=None
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):
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""" Retrieves the current state for the room. This is done by
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calling `get_latest_events_in_room` to get the leading edges of the
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event graph and then resolving any of the state conflicts.
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This is equivalent to getting the state of an event that were to send
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next before receiving any new events.
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If `event_type` is specified, then the method returns only the one
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event (or None) with that `event_type` and `state_key`.
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2016-04-01 11:08:59 -04:00
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Returns:
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map from (type, state_key) to event
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"""
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if not latest_event_ids:
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latest_event_ids = yield self.store.get_latest_event_ids_in_room(room_id)
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2014-10-17 13:56:42 -04:00
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2017-01-17 12:07:15 -05:00
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logger.debug("calling resolve_state_groups from get_current_state")
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2018-01-27 03:48:41 -05:00
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ret = yield self.resolve_state_groups_for_events(room_id, latest_event_ids)
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state = ret.state
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2016-08-25 13:15:51 -04:00
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if event_type:
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event_id = state.get((event_type, state_key))
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event = None
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if event_id:
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event = yield self.store.get_event(event_id, allow_none=True)
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return event
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2019-06-20 05:32:02 -04:00
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state_map = yield self.store.get_events(
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list(state.values()), get_prev_content=False
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)
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state = {
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key: state_map[e_id] for key, e_id in iteritems(state) if e_id in state_map
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}
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2014-10-17 13:56:42 -04:00
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2019-07-23 09:00:55 -04:00
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return state
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2014-10-17 13:56:42 -04:00
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2016-08-25 12:32:22 -04:00
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@defer.inlineCallbacks
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2018-01-19 12:10:26 -05:00
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def get_current_state_ids(self, room_id, latest_event_ids=None):
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2018-01-29 12:39:55 -05:00
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"""Get the current state, or the state at a set of events, for a room
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Args:
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room_id (str):
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latest_event_ids (iterable[str]|None): if given, the forward
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extremities to resolve. If None, we look them up from the
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database (via a cache)
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Returns:
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Deferred[dict[(str, str), str)]]: the state dict, mapping from
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(event_type, state_key) -> event_id
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"""
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2016-08-25 12:32:22 -04:00
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if not latest_event_ids:
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latest_event_ids = yield self.store.get_latest_event_ids_in_room(room_id)
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2017-01-17 12:07:15 -05:00
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logger.debug("calling resolve_state_groups from get_current_state_ids")
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2018-01-27 03:48:41 -05:00
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ret = yield self.resolve_state_groups_for_events(room_id, latest_event_ids)
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2016-08-31 10:53:19 -04:00
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state = ret.state
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2016-08-25 12:32:22 -04:00
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2019-07-23 09:00:55 -04:00
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return state
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2016-08-25 12:32:22 -04:00
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2016-08-26 09:54:30 -04:00
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@defer.inlineCallbacks
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2019-04-03 09:32:20 -04:00
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def get_current_users_in_room(self, room_id, latest_event_ids=None):
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"""
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Get the users who are currently in a room.
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Args:
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room_id (str): The ID of the room.
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latest_event_ids (List[str]|None): Precomputed list of latest
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event IDs. Will be computed if None.
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Returns:
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Deferred[Dict[str,ProfileInfo]]: Dictionary of user IDs to their
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profileinfo.
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"""
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2016-09-14 12:17:07 -04:00
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if not latest_event_ids:
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latest_event_ids = yield self.store.get_latest_event_ids_in_room(room_id)
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2019-04-03 09:32:20 -04:00
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logger.debug("calling resolve_state_groups from get_current_users_in_room")
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2018-01-27 03:48:41 -05:00
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entry = yield self.resolve_state_groups_for_events(room_id, latest_event_ids)
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joined_users = yield self.store.get_joined_users_from_state(room_id, entry)
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return joined_users
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2016-08-26 09:54:30 -04:00
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2017-05-02 05:36:35 -04:00
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@defer.inlineCallbacks
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2019-10-03 12:47:20 -04:00
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def get_current_hosts_in_room(self, room_id):
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event_ids = yield self.store.get_latest_event_ids_in_room(room_id)
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return (yield self.get_hosts_in_room_at_events(room_id, event_ids))
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@defer.inlineCallbacks
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def get_hosts_in_room_at_events(self, room_id, event_ids):
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"""Get the hosts that were in a room at the given event ids
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Args:
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room_id (str):
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event_ids (list[str]):
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Returns:
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Deferred[list[str]]: the hosts in the room at the given events
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"""
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entry = yield self.resolve_state_groups_for_events(room_id, event_ids)
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joined_hosts = yield self.store.get_joined_hosts(room_id, entry)
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return joined_hosts
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2017-05-02 05:36:35 -04:00
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2014-12-05 11:20:48 -05:00
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@defer.inlineCallbacks
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2016-03-31 10:32:24 -04:00
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def compute_event_context(self, event, old_state=None):
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"""Build an EventContext structure for the event.
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2014-12-16 08:07:48 -05:00
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2018-02-06 09:31:24 -05:00
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This works out what the current state should be for the event, and
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generates a new state group if necessary.
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2014-12-16 08:07:48 -05:00
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Args:
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event (synapse.events.EventBase):
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old_state (dict|None): The state at the event if it can't be
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calculated from existing events. This is normally only specified
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when receiving an event from federation where we don't have the
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prev events for, e.g. when backfilling.
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2014-12-16 10:59:17 -05:00
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Returns:
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2017-03-17 07:51:13 -04:00
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synapse.events.snapshot.EventContext:
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"""
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2014-12-16 10:59:17 -05:00
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2016-03-31 10:32:24 -04:00
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if event.internal_metadata.is_outlier():
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2015-06-03 11:43:40 -04:00
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# If this is an outlier, then we know it shouldn't have any current
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# state. Certainly store.get_current_state won't return any, and
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# persisting the event won't store the state group.
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2019-11-05 08:23:25 -05:00
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# FIXME: why do we populate current_state_ids? I thought the point was
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# that we weren't supposed to have any state for outliers?
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2015-06-03 11:30:01 -04:00
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if old_state:
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2019-06-20 05:32:02 -04:00
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prev_state_ids = {(s.type, s.state_key): s.event_id for s in old_state}
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2016-08-31 08:55:02 -04:00
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if event.is_state():
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2018-07-23 07:17:16 -04:00
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current_state_ids = dict(prev_state_ids)
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2016-08-31 08:55:02 -04:00
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key = (event.type, event.state_key)
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current_state_ids[key] = event.event_id
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2016-08-31 08:55:02 -04:00
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else:
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current_state_ids = prev_state_ids
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2015-06-03 11:30:01 -04:00
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else:
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2018-07-23 07:17:16 -04:00
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current_state_ids = {}
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prev_state_ids = {}
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2018-02-06 09:31:24 -05:00
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# We don't store state for outliers, so we don't generate a state
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2018-07-23 07:17:16 -04:00
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# group for it.
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2018-07-23 07:38:46 -04:00
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context = EventContext.with_state(
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2018-07-23 07:17:16 -04:00
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state_group=None,
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current_state_ids=current_state_ids,
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prev_state_ids=prev_state_ids,
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)
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2018-02-06 09:31:24 -05:00
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2019-07-23 09:00:55 -04:00
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return context
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2014-12-08 04:08:26 -05:00
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if old_state:
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2018-02-06 09:31:24 -05:00
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# We already have the state, so we don't need to calculate it.
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# Let's just correctly fill out the context and create a
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# new state group for it.
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2019-06-20 05:32:02 -04:00
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prev_state_ids = {(s.type, s.state_key): s.event_id for s in old_state}
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2014-12-10 05:06:12 -05:00
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2014-12-11 08:25:19 -05:00
|
|
|
if event.is_state():
|
|
|
|
key = (event.type, event.state_key)
|
2018-07-23 07:17:16 -04:00
|
|
|
if key in prev_state_ids:
|
|
|
|
replaces = prev_state_ids[key]
|
2016-08-25 12:32:22 -04:00
|
|
|
if replaces != event.event_id: # Paranoia check
|
|
|
|
event.unsigned["replaces_state"] = replaces
|
2018-07-23 07:17:16 -04:00
|
|
|
current_state_ids = dict(prev_state_ids)
|
|
|
|
current_state_ids[key] = event.event_id
|
2016-08-31 08:55:02 -04:00
|
|
|
else:
|
2018-07-23 07:17:16 -04:00
|
|
|
current_state_ids = prev_state_ids
|
2014-12-11 08:25:19 -05:00
|
|
|
|
2019-10-23 12:25:54 -04:00
|
|
|
state_group = yield self.state_store.store_state_group(
|
2018-02-06 09:31:24 -05:00
|
|
|
event.event_id,
|
|
|
|
event.room_id,
|
|
|
|
prev_group=None,
|
|
|
|
delta_ids=None,
|
2018-07-23 07:17:16 -04:00
|
|
|
current_state_ids=current_state_ids,
|
|
|
|
)
|
|
|
|
|
2018-07-23 07:38:46 -04:00
|
|
|
context = EventContext.with_state(
|
2018-07-23 07:17:16 -04:00
|
|
|
state_group=state_group,
|
|
|
|
current_state_ids=current_state_ids,
|
|
|
|
prev_state_ids=prev_state_ids,
|
2018-02-06 09:31:24 -05:00
|
|
|
)
|
|
|
|
|
2019-07-23 09:00:55 -04:00
|
|
|
return context
|
2014-12-08 04:08:26 -05:00
|
|
|
|
2017-01-17 12:07:15 -05:00
|
|
|
logger.debug("calling resolve_state_groups from compute_event_context")
|
2018-08-08 12:01:57 -04:00
|
|
|
|
2018-01-27 03:48:41 -05:00
|
|
|
entry = yield self.resolve_state_groups_for_events(
|
2019-06-20 05:32:02 -04:00
|
|
|
event.room_id, event.prev_event_ids()
|
2017-05-25 09:28:34 -04:00
|
|
|
)
|
2014-12-05 11:20:48 -05:00
|
|
|
|
2018-07-23 07:17:16 -04:00
|
|
|
prev_state_ids = entry.state
|
|
|
|
prev_group = None
|
|
|
|
delta_ids = None
|
2016-08-25 08:28:31 -04:00
|
|
|
|
2016-08-31 10:53:19 -04:00
|
|
|
if event.is_state():
|
2018-02-06 09:31:24 -05:00
|
|
|
# If this is a state event then we need to create a new state
|
|
|
|
# group for the state after this event.
|
2014-12-05 11:20:48 -05:00
|
|
|
|
2014-12-11 08:25:19 -05:00
|
|
|
key = (event.type, event.state_key)
|
2018-07-23 07:17:16 -04:00
|
|
|
if key in prev_state_ids:
|
|
|
|
replaces = prev_state_ids[key]
|
2016-08-25 12:32:22 -04:00
|
|
|
event.unsigned["replaces_state"] = replaces
|
2016-09-01 09:31:26 -04:00
|
|
|
|
2018-07-23 07:17:16 -04:00
|
|
|
current_state_ids = dict(prev_state_ids)
|
|
|
|
current_state_ids[key] = event.event_id
|
2016-09-01 09:31:26 -04:00
|
|
|
|
2017-05-25 09:47:39 -04:00
|
|
|
if entry.state_group:
|
2018-02-06 09:31:24 -05:00
|
|
|
# If the state at the event has a state group assigned then
|
|
|
|
# we can use that as the prev group
|
2018-07-23 07:17:16 -04:00
|
|
|
prev_group = entry.state_group
|
2019-06-20 05:32:02 -04:00
|
|
|
delta_ids = {key: event.event_id}
|
2017-05-25 09:47:39 -04:00
|
|
|
elif entry.prev_group:
|
2018-02-06 09:31:24 -05:00
|
|
|
# If the state at the event only has a prev group, then we can
|
|
|
|
# use that as a prev group too.
|
2018-07-23 07:17:16 -04:00
|
|
|
prev_group = entry.prev_group
|
|
|
|
delta_ids = dict(entry.delta_ids)
|
|
|
|
delta_ids[key] = event.event_id
|
2018-02-06 09:31:24 -05:00
|
|
|
|
2019-10-23 12:25:54 -04:00
|
|
|
state_group = yield self.state_store.store_state_group(
|
2018-02-06 09:31:24 -05:00
|
|
|
event.event_id,
|
|
|
|
event.room_id,
|
2018-07-23 07:17:16 -04:00
|
|
|
prev_group=prev_group,
|
|
|
|
delta_ids=delta_ids,
|
|
|
|
current_state_ids=current_state_ids,
|
2018-02-06 09:31:24 -05:00
|
|
|
)
|
2016-08-31 08:55:02 -04:00
|
|
|
else:
|
2018-07-23 07:17:16 -04:00
|
|
|
current_state_ids = prev_state_ids
|
|
|
|
prev_group = entry.prev_group
|
|
|
|
delta_ids = entry.delta_ids
|
2018-02-06 09:31:24 -05:00
|
|
|
|
2016-09-14 06:16:22 -04:00
|
|
|
if entry.state_group is None:
|
2019-10-23 12:25:54 -04:00
|
|
|
entry.state_group = yield self.state_store.store_state_group(
|
2018-02-06 09:31:24 -05:00
|
|
|
event.event_id,
|
|
|
|
event.room_id,
|
|
|
|
prev_group=entry.prev_group,
|
|
|
|
delta_ids=entry.delta_ids,
|
2018-07-23 07:17:16 -04:00
|
|
|
current_state_ids=current_state_ids,
|
2018-02-06 09:31:24 -05:00
|
|
|
)
|
2016-09-14 06:16:22 -04:00
|
|
|
entry.state_id = entry.state_group
|
2014-12-11 08:25:19 -05:00
|
|
|
|
2018-07-23 07:17:16 -04:00
|
|
|
state_group = entry.state_group
|
|
|
|
|
2018-07-23 07:38:46 -04:00
|
|
|
context = EventContext.with_state(
|
2018-07-23 07:17:16 -04:00
|
|
|
state_group=state_group,
|
|
|
|
current_state_ids=current_state_ids,
|
|
|
|
prev_state_ids=prev_state_ids,
|
|
|
|
prev_group=prev_group,
|
|
|
|
delta_ids=delta_ids,
|
|
|
|
)
|
2016-09-01 09:31:26 -04:00
|
|
|
|
2019-07-23 09:00:55 -04:00
|
|
|
return context
|
2014-12-05 11:20:48 -05:00
|
|
|
|
2019-10-03 12:47:20 -04:00
|
|
|
@measure_func()
|
2014-10-17 13:56:42 -04:00
|
|
|
@defer.inlineCallbacks
|
2018-08-20 09:21:12 -04:00
|
|
|
def resolve_state_groups_for_events(self, room_id, event_ids):
|
2014-11-11 12:45:46 -05:00
|
|
|
""" Given a list of event_ids this method fetches the state at each
|
|
|
|
event, resolves conflicts between them and returns them.
|
|
|
|
|
2018-01-19 12:33:22 -05:00
|
|
|
Args:
|
2018-08-08 12:01:57 -04:00
|
|
|
room_id (str)
|
|
|
|
event_ids (list[str])
|
|
|
|
explicit_room_version (str|None): If set uses the the given room
|
|
|
|
version to choose the resolution algorithm. If None, then
|
|
|
|
checks the database for room version.
|
2018-01-19 12:33:22 -05:00
|
|
|
|
2016-04-01 11:08:59 -04:00
|
|
|
Returns:
|
2018-01-19 12:33:22 -05:00
|
|
|
Deferred[_StateCacheEntry]: resolved state
|
2014-11-11 12:45:46 -05:00
|
|
|
"""
|
2015-01-30 08:34:01 -05:00
|
|
|
logger.debug("resolve_state_groups event_ids %s", event_ids)
|
|
|
|
|
2017-10-05 09:58:17 -04:00
|
|
|
# map from state group id to the state in that state group (where
|
|
|
|
# 'state' is a map from state key to event id)
|
|
|
|
# dict[int, dict[(str, str), str]]
|
2019-10-23 12:25:54 -04:00
|
|
|
state_groups_ids = yield self.state_store.get_state_groups_ids(
|
|
|
|
room_id, event_ids
|
|
|
|
)
|
2014-10-14 11:59:51 -04:00
|
|
|
|
2018-08-09 09:44:10 -04:00
|
|
|
if len(state_groups_ids) == 0:
|
2019-07-23 09:00:55 -04:00
|
|
|
return _StateCacheEntry(state={}, state_group=None)
|
2018-08-09 09:44:10 -04:00
|
|
|
elif len(state_groups_ids) == 1:
|
2018-05-24 14:58:21 -04:00
|
|
|
name, state_list = list(state_groups_ids.items()).pop()
|
2014-12-08 09:50:48 -05:00
|
|
|
|
2019-10-23 12:25:54 -04:00
|
|
|
prev_group, delta_ids = yield self.state_store.get_state_group_delta(name)
|
2017-05-25 12:08:41 -04:00
|
|
|
|
2019-07-23 09:00:55 -04:00
|
|
|
return _StateCacheEntry(
|
|
|
|
state=state_list,
|
|
|
|
state_group=name,
|
|
|
|
prev_group=prev_group,
|
|
|
|
delta_ids=delta_ids,
|
2019-06-20 05:32:02 -04:00
|
|
|
)
|
2016-03-22 14:02:36 -04:00
|
|
|
|
2018-08-20 09:21:12 -04:00
|
|
|
room_version = yield self.store.get_room_version(room_id)
|
2018-08-08 12:01:57 -04:00
|
|
|
|
2018-01-27 04:15:45 -05:00
|
|
|
result = yield self._state_resolution_handler.resolve_state_groups(
|
2019-06-20 05:32:02 -04:00
|
|
|
room_id,
|
|
|
|
room_version,
|
|
|
|
state_groups_ids,
|
|
|
|
None,
|
2018-09-03 10:13:17 -04:00
|
|
|
state_res_store=StateResolutionStore(self.store),
|
2018-01-27 04:15:45 -05:00
|
|
|
)
|
2019-07-23 09:00:55 -04:00
|
|
|
return result
|
2018-01-27 04:15:45 -05:00
|
|
|
|
2018-08-09 10:34:56 -04:00
|
|
|
@defer.inlineCallbacks
|
2018-08-08 12:01:57 -04:00
|
|
|
def resolve_events(self, room_version, state_sets, event):
|
2018-01-27 04:15:45 -05:00
|
|
|
logger.info(
|
|
|
|
"Resolving state for %s with %d groups", event.room_id, len(state_sets)
|
|
|
|
)
|
2019-06-20 05:32:02 -04:00
|
|
|
state_set_ids = [
|
|
|
|
{(ev.type, ev.state_key): ev.event_id for ev in st} for st in state_sets
|
|
|
|
]
|
|
|
|
|
|
|
|
state_map = {ev.event_id: ev for st in state_sets for ev in st}
|
2018-01-27 04:15:45 -05:00
|
|
|
|
|
|
|
with Measure(self.clock, "state._resolve_events"):
|
2018-10-24 04:44:22 -04:00
|
|
|
new_state = yield resolve_events_with_store(
|
2019-06-20 05:32:02 -04:00
|
|
|
room_version,
|
|
|
|
state_set_ids,
|
2018-08-09 10:34:56 -04:00
|
|
|
event_map=state_map,
|
2018-09-03 10:13:17 -04:00
|
|
|
state_res_store=StateResolutionStore(self.store),
|
2018-08-08 12:01:57 -04:00
|
|
|
)
|
2018-01-27 04:15:45 -05:00
|
|
|
|
2019-06-20 05:32:02 -04:00
|
|
|
new_state = {key: state_map[ev_id] for key, ev_id in iteritems(new_state)}
|
2018-01-27 04:15:45 -05:00
|
|
|
|
2019-07-23 09:00:55 -04:00
|
|
|
return new_state
|
2018-01-27 04:15:45 -05:00
|
|
|
|
|
|
|
|
|
|
|
class StateResolutionHandler(object):
|
|
|
|
"""Responsible for doing state conflict resolution.
|
|
|
|
|
|
|
|
Note that the storage layer depends on this handler, so all functions must
|
|
|
|
be storage-independent.
|
|
|
|
"""
|
2019-06-20 05:32:02 -04:00
|
|
|
|
2018-01-27 04:15:45 -05:00
|
|
|
def __init__(self, hs):
|
|
|
|
self.clock = hs.get_clock()
|
|
|
|
|
|
|
|
# dict of set of event_ids -> _StateCacheEntry.
|
|
|
|
self._state_cache = None
|
|
|
|
self.resolve_linearizer = Linearizer(name="state_resolve_lock")
|
|
|
|
|
|
|
|
self._state_cache = ExpiringCache(
|
|
|
|
cache_name="state_cache",
|
|
|
|
clock=self.clock,
|
|
|
|
max_len=SIZE_OF_CACHE,
|
|
|
|
expiry_ms=EVICTION_TIMEOUT_SECONDS * 1000,
|
|
|
|
iterable=True,
|
|
|
|
reset_expiry_on_get=True,
|
|
|
|
)
|
|
|
|
|
|
|
|
@defer.inlineCallbacks
|
|
|
|
@log_function
|
2018-01-27 10:40:41 -05:00
|
|
|
def resolve_state_groups(
|
2019-06-20 05:32:02 -04:00
|
|
|
self, room_id, room_version, state_groups_ids, event_map, state_res_store
|
2018-01-27 10:40:41 -05:00
|
|
|
):
|
2018-01-27 04:15:45 -05:00
|
|
|
"""Resolves conflicts between a set of state groups
|
|
|
|
|
|
|
|
Always generates a new state group (unless we hit the cache), so should
|
|
|
|
not be called for a single state group
|
|
|
|
|
|
|
|
Args:
|
|
|
|
room_id (str): room we are resolving for (used for logging)
|
2018-08-08 12:01:57 -04:00
|
|
|
room_version (str): version of the room
|
2018-01-27 04:15:45 -05:00
|
|
|
state_groups_ids (dict[int, dict[(str, str), str]]):
|
|
|
|
map from state group id to the state in that state group
|
|
|
|
(where 'state' is a map from state key to event id)
|
|
|
|
|
2018-01-27 10:40:41 -05:00
|
|
|
event_map(dict[str,FrozenEvent]|None):
|
|
|
|
a dict from event_id to event, for any events that we happen to
|
|
|
|
have in flight (eg, those currently being persisted). This will be
|
|
|
|
used as a starting point fof finding the state we need; any missing
|
2018-09-03 10:13:17 -04:00
|
|
|
events will be requested via state_res_store.
|
|
|
|
|
|
|
|
If None, all events will be fetched via state_res_store.
|
2018-01-27 10:40:41 -05:00
|
|
|
|
2018-09-03 10:13:17 -04:00
|
|
|
state_res_store (StateResolutionStore)
|
2018-01-27 10:40:41 -05:00
|
|
|
|
2018-01-27 04:15:45 -05:00
|
|
|
Returns:
|
|
|
|
Deferred[_StateCacheEntry]: resolved state
|
|
|
|
"""
|
2019-06-20 05:32:02 -04:00
|
|
|
logger.debug("resolve_state_groups state_groups %s", state_groups_ids.keys())
|
2018-01-27 04:15:45 -05:00
|
|
|
|
|
|
|
group_names = frozenset(state_groups_ids.keys())
|
|
|
|
|
2016-09-01 09:55:03 -04:00
|
|
|
with (yield self.resolve_linearizer.queue(group_names)):
|
|
|
|
if self._state_cache is not None:
|
|
|
|
cache = self._state_cache.get(group_names, None)
|
|
|
|
if cache:
|
2019-07-23 09:00:55 -04:00
|
|
|
return cache
|
2014-11-11 09:16:41 -05:00
|
|
|
|
2016-09-01 09:55:03 -04:00
|
|
|
logger.info(
|
|
|
|
"Resolving state for %s with %d groups", room_id, len(state_groups_ids)
|
|
|
|
)
|
2015-02-13 09:20:05 -05:00
|
|
|
|
2019-06-18 08:01:52 -04:00
|
|
|
state_groups_histogram.observe(len(state_groups_ids))
|
|
|
|
|
2018-07-23 14:00:16 -04:00
|
|
|
# start by assuming we won't have any conflicted state, and build up the new
|
|
|
|
# state map by iterating through the state groups. If we discover a conflict,
|
2018-10-24 04:44:22 -04:00
|
|
|
# we give up and instead use `resolve_events_with_store`.
|
2018-07-23 14:00:16 -04:00
|
|
|
#
|
|
|
|
# XXX: is this actually worthwhile, or should we just let
|
2018-10-24 04:44:22 -04:00
|
|
|
# resolve_events_with_store do it?
|
2018-07-23 14:00:16 -04:00
|
|
|
new_state = {}
|
|
|
|
conflicted_state = False
|
2018-05-24 14:58:21 -04:00
|
|
|
for st in itervalues(state_groups_ids):
|
|
|
|
for key, e_id in iteritems(st):
|
2018-07-23 14:00:16 -04:00
|
|
|
if key in new_state:
|
|
|
|
conflicted_state = True
|
|
|
|
break
|
|
|
|
new_state[key] = e_id
|
|
|
|
if conflicted_state:
|
|
|
|
break
|
2016-08-25 08:28:31 -04:00
|
|
|
|
2016-09-01 09:55:03 -04:00
|
|
|
if conflicted_state:
|
|
|
|
logger.info("Resolving conflicted state for %r", room_id)
|
2017-01-10 13:37:18 -05:00
|
|
|
with Measure(self.clock, "state._resolve_events"):
|
2018-10-24 04:44:22 -04:00
|
|
|
new_state = yield resolve_events_with_store(
|
2018-08-08 12:01:57 -04:00
|
|
|
room_version,
|
2018-07-23 14:00:16 -04:00
|
|
|
list(itervalues(state_groups_ids)),
|
2018-01-27 10:40:41 -05:00
|
|
|
event_map=event_map,
|
2018-09-03 10:13:17 -04:00
|
|
|
state_res_store=state_res_store,
|
2017-01-10 13:37:18 -05:00
|
|
|
)
|
2016-09-01 09:55:03 -04:00
|
|
|
|
2018-07-23 14:00:16 -04:00
|
|
|
# if the new state matches any of the input state groups, we can
|
|
|
|
# use that state group again. Otherwise we will generate a state_id
|
|
|
|
# which will be used as a cache key for future resolutions, but
|
|
|
|
# not get persisted.
|
2018-03-28 06:03:52 -04:00
|
|
|
|
2018-07-23 14:00:16 -04:00
|
|
|
with Measure(self.clock, "state.create_group_ids"):
|
|
|
|
cache = _make_state_cache_entry(new_state, state_groups_ids)
|
2016-04-20 06:39:54 -04:00
|
|
|
|
2016-09-01 09:55:03 -04:00
|
|
|
if self._state_cache is not None:
|
|
|
|
self._state_cache[group_names] = cache
|
2015-02-13 09:20:05 -05:00
|
|
|
|
2019-07-23 09:00:55 -04:00
|
|
|
return cache
|
2015-02-13 09:20:05 -05:00
|
|
|
|
|
|
|
|
2019-06-20 05:32:02 -04:00
|
|
|
def _make_state_cache_entry(new_state, state_groups_ids):
|
2018-07-23 14:00:16 -04:00
|
|
|
"""Given a resolved state, and a set of input state groups, pick one to base
|
|
|
|
a new state group on (if any), and return an appropriately-constructed
|
|
|
|
_StateCacheEntry.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
new_state (dict[(str, str), str]): resolved state map (mapping from
|
|
|
|
(type, state_key) to event_id)
|
|
|
|
|
|
|
|
state_groups_ids (dict[int, dict[(str, str), str]]):
|
|
|
|
map from state group id to the state in that state group
|
|
|
|
(where 'state' is a map from state key to event id)
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
_StateCacheEntry
|
|
|
|
"""
|
|
|
|
# if the new state matches any of the input state groups, we can
|
|
|
|
# use that state group again. Otherwise we will generate a state_id
|
|
|
|
# which will be used as a cache key for future resolutions, but
|
|
|
|
# not get persisted.
|
|
|
|
|
|
|
|
# first look for exact matches
|
|
|
|
new_state_event_ids = set(itervalues(new_state))
|
|
|
|
for sg, state in iteritems(state_groups_ids):
|
|
|
|
if len(new_state_event_ids) != len(state):
|
|
|
|
continue
|
|
|
|
|
|
|
|
old_state_event_ids = set(itervalues(state))
|
|
|
|
if new_state_event_ids == old_state_event_ids:
|
|
|
|
# got an exact match.
|
2019-06-20 05:32:02 -04:00
|
|
|
return _StateCacheEntry(state=new_state, state_group=sg)
|
2018-07-23 14:00:16 -04:00
|
|
|
|
|
|
|
# TODO: We want to create a state group for this set of events, to
|
|
|
|
# increase cache hits, but we need to make sure that it doesn't
|
|
|
|
# end up as a prev_group without being added to the database
|
|
|
|
|
|
|
|
# failing that, look for the closest match.
|
|
|
|
prev_group = None
|
|
|
|
delta_ids = None
|
|
|
|
|
|
|
|
for old_group, old_state in iteritems(state_groups_ids):
|
2019-06-20 05:32:02 -04:00
|
|
|
n_delta_ids = {k: v for k, v in iteritems(new_state) if old_state.get(k) != v}
|
2018-07-23 14:00:16 -04:00
|
|
|
if not delta_ids or len(n_delta_ids) < len(delta_ids):
|
|
|
|
prev_group = old_group
|
|
|
|
delta_ids = n_delta_ids
|
|
|
|
|
|
|
|
return _StateCacheEntry(
|
2019-06-20 05:32:02 -04:00
|
|
|
state=new_state, state_group=None, prev_group=prev_group, delta_ids=delta_ids
|
2018-07-23 14:00:16 -04:00
|
|
|
)
|
2018-08-08 12:01:57 -04:00
|
|
|
|
|
|
|
|
2018-10-24 04:44:22 -04:00
|
|
|
def resolve_events_with_store(room_version, state_sets, event_map, state_res_store):
|
2018-08-08 12:01:57 -04:00
|
|
|
"""
|
|
|
|
Args:
|
|
|
|
room_version(str): Version of the room
|
|
|
|
|
|
|
|
state_sets(list): List of dicts of (type, state_key) -> event_id,
|
|
|
|
which are the different state groups to resolve.
|
|
|
|
|
|
|
|
event_map(dict[str,FrozenEvent]|None):
|
|
|
|
a dict from event_id to event, for any events that we happen to
|
|
|
|
have in flight (eg, those currently being persisted). This will be
|
|
|
|
used as a starting point fof finding the state we need; any missing
|
|
|
|
events will be requested via state_map_factory.
|
|
|
|
|
|
|
|
If None, all events will be fetched via state_map_factory.
|
|
|
|
|
2018-09-03 10:13:17 -04:00
|
|
|
state_res_store (StateResolutionStore)
|
2018-08-08 12:01:57 -04:00
|
|
|
|
|
|
|
Returns
|
|
|
|
Deferred[dict[(str, str), str]]:
|
|
|
|
a map from (type, state_key) to event_id.
|
|
|
|
"""
|
2019-04-01 05:24:38 -04:00
|
|
|
v = KNOWN_ROOM_VERSIONS[room_version]
|
|
|
|
if v.state_res == StateResolutionVersions.V1:
|
2018-10-24 04:44:22 -04:00
|
|
|
return v1.resolve_events_with_store(
|
2019-06-20 05:32:02 -04:00
|
|
|
state_sets, event_map, state_res_store.get_events
|
2018-09-03 10:13:17 -04:00
|
|
|
)
|
2019-04-01 05:24:38 -04:00
|
|
|
else:
|
2018-10-24 04:44:22 -04:00
|
|
|
return v2.resolve_events_with_store(
|
2019-06-20 05:32:02 -04:00
|
|
|
room_version, state_sets, event_map, state_res_store
|
2018-08-08 12:01:57 -04:00
|
|
|
)
|
2018-09-03 10:13:17 -04:00
|
|
|
|
|
|
|
|
|
|
|
@attr.s
|
|
|
|
class StateResolutionStore(object):
|
|
|
|
"""Interface that allows state resolution algorithms to access the database
|
|
|
|
in well defined way.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
store (DataStore)
|
|
|
|
"""
|
|
|
|
|
|
|
|
store = attr.ib()
|
|
|
|
|
|
|
|
def get_events(self, event_ids, allow_rejected=False):
|
|
|
|
"""Get events from the database
|
|
|
|
|
|
|
|
Args:
|
|
|
|
event_ids (list): The event_ids of the events to fetch
|
|
|
|
allow_rejected (bool): If True return rejected events.
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
Deferred[dict[str, FrozenEvent]]: Dict from event_id to event.
|
|
|
|
"""
|
|
|
|
|
|
|
|
return self.store.get_events(
|
|
|
|
event_ids,
|
|
|
|
check_redacted=False,
|
|
|
|
get_prev_content=False,
|
|
|
|
allow_rejected=allow_rejected,
|
|
|
|
)
|
|
|
|
|
|
|
|
def get_auth_chain(self, event_ids):
|
|
|
|
"""Gets the full auth chain for a set of events (including rejected
|
|
|
|
events).
|
|
|
|
|
|
|
|
Includes the given event IDs in the result.
|
|
|
|
|
|
|
|
Note that:
|
|
|
|
1. All events must be state events.
|
|
|
|
2. For v1 rooms this may not have the full auth chain in the
|
|
|
|
presence of rejected events
|
|
|
|
|
|
|
|
Args:
|
|
|
|
event_ids (list): The event IDs of the events to fetch the auth
|
|
|
|
chain for. Must be state events.
|
|
|
|
|
|
|
|
Returns:
|
|
|
|
Deferred[list[str]]: List of event IDs of the auth chain.
|
|
|
|
"""
|
|
|
|
|
|
|
|
return self.store.get_auth_chain_ids(event_ids, include_given=True)
|