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-rw-r--r--synapse/state/v2.py544
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diff --git a/synapse/state/v2.py b/synapse/state/v2.py
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+# -*- 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 six import iteritems, itervalues
+
+from twisted.internet import defer
+
+from synapse import event_auth
+from synapse.api.constants import EventTypes
+from synapse.api.errors import AuthError
+
+logger = logging.getLogger(__name__)
+
+
+@defer.inlineCallbacks
+def resolve_events_with_factory(state_sets, event_map, state_res_store):
+    """Resolves the state using the v2 state resolution algorithm
+
+    Args:
+        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_res_store.
+
+            If None, all events will be fetched via state_res_store.
+
+        state_res_store (StateResolutionStore)
+
+    Returns
+        Deferred[dict[(str, str), str]]:
+            a map from (type, state_key) to event_id.
+    """
+
+    logger.debug("Computing conflicted state")
+
+    # First split up the un/conflicted state
+    unconflicted_state, conflicted_state = _seperate(state_sets)
+
+    if not conflicted_state:
+        defer.returnValue(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)
+
+    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(
+        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(
+        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(
+        leftover_events, pl, event_map, state_res_store,
+    )
+
+    logger.debug("resolving remaining events")
+
+    resolved_state = yield _iterative_auth_checks(
+        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")
+
+    defer.returnValue(resolved_state)
+
+
+@defer.inlineCallbacks
+def _get_power_level_for_sender(event_id, event_map, state_res_store):
+    """Return the power level of the sender of the given event according to
+    their auth events.
+
+    Args:
+        event_id (str)
+        event_map (dict[str,FrozenEvent])
+        state_res_store (StateResolutionStore)
+
+    Returns:
+        Deferred[int]
+    """
+    event = yield _get_event(event_id, event_map, state_res_store)
+
+    pl = None
+    for aid, _ in event.auth_events:
+        aev = yield _get_event(aid, event_map, state_res_store)
+        if (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_events:
+            aev = yield _get_event(aid, event_map, state_res_store)
+            if (aev.type, aev.state_key) == (EventTypes.Create, ""):
+                if aev.content.get("creator") == event.sender:
+                    defer.returnValue(100)
+                break
+        defer.returnValue(0)
+
+    level = pl.content.get("users", {}).get(event.sender)
+    if level is None:
+        level = pl.content.get("users_default", 0)
+
+    if level is None:
+        defer.returnValue(0)
+    else:
+        defer.returnValue(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)
+
+    defer.returnValue(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, 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
+        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(eid, event_map, state_res_store)
+        for aid, _ in event.auth_events:
+            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(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:
+        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, event_id, event_map, state_res_store, auth_diff,
+        )
+
+    event_to_pl = {}
+    for event_id in graph:
+        pl = yield _get_power_level_for_sender(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)
+
+    defer.returnValue(sorted_events)
+
+
+@defer.inlineCallbacks
+def _iterative_auth_checks(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:
+        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_events:
+            ev = yield _get_event(aid, event_map, state_res_store)
+
+            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(ev_id, event_map, state_res_store)
+
+                if ev.rejected_reason is None:
+                    auth_events[key] = event_map[ev_id]
+
+        try:
+            event_auth.check(
+                event, auth_events,
+                do_sig_check=False,
+                do_size_check=False
+            )
+
+            resolved_state[(event.type, event.state_key)] = event_id
+        except AuthError:
+            pass
+
+    defer.returnValue(resolved_state)
+
+
+@defer.inlineCallbacks
+def _mainline_sort(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:
+        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(pl, event_map, state_res_store)
+        auth_events = pl_ev.auth_events
+        pl = None
+        for aid, _ in auth_events:
+            ev = yield _get_event(aid, event_map, state_res_store)
+            if (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])
+
+    defer.returnValue(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]
+    """
+
+    # 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:
+            defer.returnValue(depth)
+
+        auth_events = event.auth_events
+        event = None
+
+        for aid, _ in auth_events:
+            aev = yield _get_event(aid, event_map, state_res_store)
+            if (aev.type, aev.state_key) == (EventTypes.PowerLevels, ""):
+                event = aev
+                break
+
+    # Didn't find a power level auth event, so we just return 0
+    defer.returnValue(0)
+
+
+@defer.inlineCallbacks
+def _get_event(event_id, event_map, state_res_store):
+    """Helper function to look up event in event_map, falling back to looking
+    it up in the store
+
+    Args:
+        event_id (str)
+        event_map (dict[str,FrozenEvent])
+        state_res_store (StateResolutionStore)
+
+    Returns:
+        Deferred[FrozenEvent]
+    """
+    if event_id not in event_map:
+        events = yield state_res_store.get_events([event_id], allow_rejected=True)
+        event_map.update(events)
+    defer.returnValue(event_map[event_id])
+
+
+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