MatrixSynapse/synapse/state/v2.py

617 lines
19 KiB
Python

# -*- coding: utf-8 -*-
# Copyright 2018 New Vector Ltd
#
# 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 heapq
import itertools
import logging
from typing import Dict, List, Optional, Tuple
from six import iteritems, itervalues
from twisted.internet import defer
import synapse.state
from synapse import event_auth
from synapse.api.constants import EventTypes
from synapse.api.errors import AuthError
from synapse.events import EventBase
logger = logging.getLogger(__name__)
@defer.inlineCallbacks
def resolve_events_with_store(
room_id: str,
room_version: str,
state_sets: List[Dict[Tuple[str, str], str]],
event_map: Optional[Dict[str, EventBase]],
state_res_store: "synapse.state.StateResolutionStore",
):
"""Resolves the state using the v2 state resolution algorithm
Args:
room_id: the room we are working in
room_version: The room version
state_sets: List of dicts of (type, state_key) -> event_id,
which are the different state groups to resolve.
event_map:
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_res_store.
If None, all events will be fetched via state_res_store.
state_res_store:
Returns:
Deferred[dict[(str, str), str]]:
a map from (type, state_key) to event_id.
"""
logger.debug("Computing conflicted state")
# We use event_map as a cache, so if its None we need to initialize it
if event_map is None:
event_map = {}
# First split up the un/conflicted state
unconflicted_state, conflicted_state = _seperate(state_sets)
if not conflicted_state:
return unconflicted_state
logger.debug("%d conflicted state entries", len(conflicted_state))
logger.debug("Calculating auth chain difference")
# Also fetch all auth events that appear in only some of the state sets'
# auth chains.
auth_diff = yield _get_auth_chain_difference(state_sets, event_map, state_res_store)
full_conflicted_set = set(
itertools.chain(
itertools.chain.from_iterable(itervalues(conflicted_state)), auth_diff
)
)
events = yield state_res_store.get_events(
[eid for eid in full_conflicted_set if eid not in event_map],
allow_rejected=True,
)
event_map.update(events)
# everything in the event map should be in the right room
for event in event_map.values():
if event.room_id != room_id:
raise Exception(
"Attempting to state-resolve for room %s with event %s which is in %s"
% (room_id, event.event_id, event.room_id,)
)
full_conflicted_set = set(eid for eid in full_conflicted_set if eid in event_map)
logger.debug("%d full_conflicted_set entries", len(full_conflicted_set))
# Get and sort all the power events (kicks/bans/etc)
power_events = (
eid for eid in full_conflicted_set if _is_power_event(event_map[eid])
)
sorted_power_events = yield _reverse_topological_power_sort(
room_id, power_events, event_map, state_res_store, full_conflicted_set
)
logger.debug("sorted %d power events", len(sorted_power_events))
# Now sequentially auth each one
resolved_state = yield _iterative_auth_checks(
room_id,
room_version,
sorted_power_events,
unconflicted_state,
event_map,
state_res_store,
)
logger.debug("resolved power events")
# OK, so we've now resolved the power events. Now sort the remaining
# events using the mainline of the resolved power level.
leftover_events = [
ev_id for ev_id in full_conflicted_set if ev_id not in sorted_power_events
]
logger.debug("sorting %d remaining events", len(leftover_events))
pl = resolved_state.get((EventTypes.PowerLevels, ""), None)
leftover_events = yield _mainline_sort(
room_id, leftover_events, pl, event_map, state_res_store
)
logger.debug("resolving remaining events")
resolved_state = yield _iterative_auth_checks(
room_id,
room_version,
leftover_events,
resolved_state,
event_map,
state_res_store,
)
logger.debug("resolved")
# We make sure that unconflicted state always still applies.
resolved_state.update(unconflicted_state)
logger.debug("done")
return resolved_state
@defer.inlineCallbacks
def _get_power_level_for_sender(room_id, event_id, event_map, state_res_store):
"""Return the power level of the sender of the given event according to
their auth events.
Args:
room_id (str)
event_id (str)
event_map (dict[str,FrozenEvent])
state_res_store (StateResolutionStore)
Returns:
Deferred[int]
"""
event = yield _get_event(room_id, event_id, event_map, state_res_store)
pl = None
for aid in event.auth_event_ids():
aev = yield _get_event(
room_id, aid, event_map, state_res_store, allow_none=True
)
if aev and (aev.type, aev.state_key) == (EventTypes.PowerLevels, ""):
pl = aev
break
if pl is None:
# Couldn't find power level. Check if they're the creator of the room
for aid in event.auth_event_ids():
aev = yield _get_event(
room_id, aid, event_map, state_res_store, allow_none=True
)
if aev and (aev.type, aev.state_key) == (EventTypes.Create, ""):
if aev.content.get("creator") == event.sender:
return 100
break
return 0
level = pl.content.get("users", {}).get(event.sender)
if level is None:
level = pl.content.get("users_default", 0)
if level is None:
return 0
else:
return int(level)
@defer.inlineCallbacks
def _get_auth_chain_difference(state_sets, event_map, state_res_store):
"""Compare the auth chains of each state set and return the set of events
that only appear in some but not all of the auth chains.
Args:
state_sets (list)
event_map (dict[str,FrozenEvent])
state_res_store (StateResolutionStore)
Returns:
Deferred[set[str]]: Set of event IDs
"""
common = set(itervalues(state_sets[0])).intersection(
*(itervalues(s) for s in state_sets[1:])
)
auth_sets = []
for state_set in state_sets:
auth_ids = set(
eid
for key, eid in iteritems(state_set)
if (
key[0] in (EventTypes.Member, EventTypes.ThirdPartyInvite)
or key
in (
(EventTypes.PowerLevels, ""),
(EventTypes.Create, ""),
(EventTypes.JoinRules, ""),
)
)
and eid not in common
)
auth_chain = yield state_res_store.get_auth_chain(auth_ids)
auth_ids.update(auth_chain)
auth_sets.append(auth_ids)
intersection = set(auth_sets[0]).intersection(*auth_sets[1:])
union = set().union(*auth_sets)
return union - intersection
def _seperate(state_sets):
"""Return the unconflicted and conflicted state. This is different than in
the original algorithm, as this defines a key to be conflicted if one of
the state sets doesn't have that key.
Args:
state_sets (list)
Returns:
tuple[dict, dict]: A tuple of unconflicted and conflicted state. The
conflicted state dict is a map from type/state_key to set of event IDs
"""
unconflicted_state = {}
conflicted_state = {}
for key in set(itertools.chain.from_iterable(state_sets)):
event_ids = set(state_set.get(key) for state_set in state_sets)
if len(event_ids) == 1:
unconflicted_state[key] = event_ids.pop()
else:
event_ids.discard(None)
conflicted_state[key] = event_ids
return unconflicted_state, conflicted_state
def _is_power_event(event):
"""Return whether or not the event is a "power event", as defined by the
v2 state resolution algorithm
Args:
event (FrozenEvent)
Returns:
boolean
"""
if (event.type, event.state_key) in (
(EventTypes.PowerLevels, ""),
(EventTypes.JoinRules, ""),
(EventTypes.Create, ""),
):
return True
if event.type == EventTypes.Member:
if event.membership in ("leave", "ban"):
return event.sender != event.state_key
return False
@defer.inlineCallbacks
def _add_event_and_auth_chain_to_graph(
graph, room_id, event_id, event_map, state_res_store, auth_diff
):
"""Helper function for _reverse_topological_power_sort that add the event
and its auth chain (that is in the auth diff) to the graph
Args:
graph (dict[str, set[str]]): A map from event ID to the events auth
event IDs
room_id (str): the room we are working in
event_id (str): Event to add to the graph
event_map (dict[str,FrozenEvent])
state_res_store (StateResolutionStore)
auth_diff (set[str]): Set of event IDs that are in the auth difference.
"""
state = [event_id]
while state:
eid = state.pop()
graph.setdefault(eid, set())
event = yield _get_event(room_id, eid, event_map, state_res_store)
for aid in event.auth_event_ids():
if aid in auth_diff:
if aid not in graph:
state.append(aid)
graph.setdefault(eid, set()).add(aid)
@defer.inlineCallbacks
def _reverse_topological_power_sort(
room_id, event_ids, event_map, state_res_store, auth_diff
):
"""Returns a list of the event_ids sorted by reverse topological ordering,
and then by power level and origin_server_ts
Args:
room_id (str): the room we are working in
event_ids (list[str]): The events to sort
event_map (dict[str,FrozenEvent])
state_res_store (StateResolutionStore)
auth_diff (set[str]): Set of event IDs that are in the auth difference.
Returns:
Deferred[list[str]]: The sorted list
"""
graph = {}
for event_id in event_ids:
yield _add_event_and_auth_chain_to_graph(
graph, room_id, event_id, event_map, state_res_store, auth_diff
)
event_to_pl = {}
for event_id in graph:
pl = yield _get_power_level_for_sender(
room_id, event_id, event_map, state_res_store
)
event_to_pl[event_id] = pl
def _get_power_order(event_id):
ev = event_map[event_id]
pl = event_to_pl[event_id]
return -pl, ev.origin_server_ts, event_id
# Note: graph is modified during the sort
it = lexicographical_topological_sort(graph, key=_get_power_order)
sorted_events = list(it)
return sorted_events
@defer.inlineCallbacks
def _iterative_auth_checks(
room_id, room_version, event_ids, base_state, event_map, state_res_store
):
"""Sequentially apply auth checks to each event in given list, updating the
state as it goes along.
Args:
room_id (str)
room_version (str)
event_ids (list[str]): Ordered list of events to apply auth checks to
base_state (dict[tuple[str, str], str]): The set of state to start with
event_map (dict[str,FrozenEvent])
state_res_store (StateResolutionStore)
Returns:
Deferred[dict[tuple[str, str], str]]: Returns the final updated state
"""
resolved_state = base_state.copy()
for event_id in event_ids:
event = event_map[event_id]
auth_events = {}
for aid in event.auth_event_ids():
ev = yield _get_event(
room_id, aid, event_map, state_res_store, allow_none=True
)
if not ev:
logger.warning(
"auth_event id %s for event %s is missing", aid, event_id
)
else:
if ev.rejected_reason is None:
auth_events[(ev.type, ev.state_key)] = ev
for key in event_auth.auth_types_for_event(event):
if key in resolved_state:
ev_id = resolved_state[key]
ev = yield _get_event(room_id, ev_id, event_map, state_res_store)
if ev.rejected_reason is None:
auth_events[key] = event_map[ev_id]
try:
event_auth.check(
room_version,
event,
auth_events,
do_sig_check=False,
do_size_check=False,
)
resolved_state[(event.type, event.state_key)] = event_id
except AuthError:
pass
return resolved_state
@defer.inlineCallbacks
def _mainline_sort(
room_id, event_ids, resolved_power_event_id, event_map, state_res_store
):
"""Returns a sorted list of event_ids sorted by mainline ordering based on
the given event resolved_power_event_id
Args:
room_id (str): room we're working in
event_ids (list[str]): Events to sort
resolved_power_event_id (str): The final resolved power level event ID
event_map (dict[str,FrozenEvent])
state_res_store (StateResolutionStore)
Returns:
Deferred[list[str]]: The sorted list
"""
mainline = []
pl = resolved_power_event_id
while pl:
mainline.append(pl)
pl_ev = yield _get_event(room_id, pl, event_map, state_res_store)
auth_events = pl_ev.auth_event_ids()
pl = None
for aid in auth_events:
ev = yield _get_event(
room_id, aid, event_map, state_res_store, allow_none=True
)
if ev and (ev.type, ev.state_key) == (EventTypes.PowerLevels, ""):
pl = aid
break
mainline_map = {ev_id: i + 1 for i, ev_id in enumerate(reversed(mainline))}
event_ids = list(event_ids)
order_map = {}
for ev_id in event_ids:
depth = yield _get_mainline_depth_for_event(
event_map[ev_id], mainline_map, event_map, state_res_store
)
order_map[ev_id] = (depth, event_map[ev_id].origin_server_ts, ev_id)
event_ids.sort(key=lambda ev_id: order_map[ev_id])
return event_ids
@defer.inlineCallbacks
def _get_mainline_depth_for_event(event, mainline_map, event_map, state_res_store):
"""Get the mainline depths for the given event based on the mainline map
Args:
event (FrozenEvent)
mainline_map (dict[str, int]): Map from event_id to mainline depth for
events in the mainline.
event_map (dict[str,FrozenEvent])
state_res_store (StateResolutionStore)
Returns:
Deferred[int]
"""
room_id = event.room_id
# We do an iterative search, replacing `event with the power level in its
# auth events (if any)
while event:
depth = mainline_map.get(event.event_id)
if depth is not None:
return depth
auth_events = event.auth_event_ids()
event = None
for aid in auth_events:
aev = yield _get_event(
room_id, aid, event_map, state_res_store, allow_none=True
)
if aev and (aev.type, aev.state_key) == (EventTypes.PowerLevels, ""):
event = aev
break
# Didn't find a power level auth event, so we just return 0
return 0
@defer.inlineCallbacks
def _get_event(room_id, event_id, event_map, state_res_store, allow_none=False):
"""Helper function to look up event in event_map, falling back to looking
it up in the store
Args:
room_id (str)
event_id (str)
event_map (dict[str,FrozenEvent])
state_res_store (StateResolutionStore)
allow_none (bool): if the event is not found, return None rather than raising
an exception
Returns:
Deferred[Optional[FrozenEvent]]
"""
if event_id not in event_map:
events = yield state_res_store.get_events([event_id], allow_rejected=True)
event_map.update(events)
event = event_map.get(event_id)
if event is None:
if allow_none:
return None
raise Exception("Unknown event %s" % (event_id,))
if event.room_id != room_id:
raise Exception(
"In state res for room %s, event %s is in %s"
% (room_id, event_id, event.room_id)
)
return event
def lexicographical_topological_sort(graph, key):
"""Performs a lexicographic reverse topological sort on the graph.
This returns a reverse topological sort (i.e. if node A references B then B
appears before A in the sort), with ties broken lexicographically based on
return value of the `key` function.
NOTE: `graph` is modified during the sort.
Args:
graph (dict[str, set[str]]): A representation of the graph where each
node is a key in the dict and its value are the nodes edges.
key (func): A function that takes a node and returns a value that is
comparable and used to order nodes
Yields:
str: The next node in the topological sort
"""
# Note, this is basically Kahn's algorithm except we look at nodes with no
# outgoing edges, c.f.
# https://en.wikipedia.org/wiki/Topological_sorting#Kahn's_algorithm
outdegree_map = graph
reverse_graph = {}
# Lists of nodes with zero out degree. Is actually a tuple of
# `(key(node), node)` so that sorting does the right thing
zero_outdegree = []
for node, edges in iteritems(graph):
if len(edges) == 0:
zero_outdegree.append((key(node), node))
reverse_graph.setdefault(node, set())
for edge in edges:
reverse_graph.setdefault(edge, set()).add(node)
# heapq is a built in implementation of a sorted queue.
heapq.heapify(zero_outdegree)
while zero_outdegree:
_, node = heapq.heappop(zero_outdegree)
for parent in reverse_graph[node]:
out = outdegree_map[parent]
out.discard(node)
if len(out) == 0:
heapq.heappush(zero_outdegree, (key(parent), parent))
yield node