forked-synapse/tests/state/test_v2.py
Erik Johnston b313b9b009 isort
2018-10-24 10:02:41 +01:00

664 lines
18 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 itertools
from six.moves import zip
import attr
from synapse.api.constants import EventTypes, JoinRules, Membership
from synapse.event_auth import auth_types_for_event
from synapse.events import FrozenEvent
from synapse.state.v2 import lexicographical_topological_sort, resolve_events_with_store
from synapse.types import EventID
from tests import unittest
ALICE = "@alice:example.com"
BOB = "@bob:example.com"
CHARLIE = "@charlie:example.com"
EVELYN = "@evelyn:example.com"
ZARA = "@zara:example.com"
ROOM_ID = "!test:example.com"
MEMBERSHIP_CONTENT_JOIN = {"membership": Membership.JOIN}
MEMBERSHIP_CONTENT_BAN = {"membership": Membership.BAN}
ORIGIN_SERVER_TS = 0
class FakeEvent(object):
"""A fake event we use as a convenience.
NOTE: Again as a convenience we use "node_ids" rather than event_ids to
refer to events. The event_id has node_id as localpart and example.com
as domain.
"""
def __init__(self, id, sender, type, state_key, content):
self.node_id = id
self.event_id = EventID(id, "example.com").to_string()
self.sender = sender
self.type = type
self.state_key = state_key
self.content = content
def to_event(self, auth_events, prev_events):
"""Given the auth_events and prev_events, convert to a Frozen Event
Args:
auth_events (list[str]): list of event_ids
prev_events (list[str]): list of event_ids
Returns:
FrozenEvent
"""
global ORIGIN_SERVER_TS
ts = ORIGIN_SERVER_TS
ORIGIN_SERVER_TS = ORIGIN_SERVER_TS + 1
event_dict = {
"auth_events": [(a, {}) for a in auth_events],
"prev_events": [(p, {}) for p in prev_events],
"event_id": self.node_id,
"sender": self.sender,
"type": self.type,
"content": self.content,
"origin_server_ts": ts,
"room_id": ROOM_ID,
}
if self.state_key is not None:
event_dict["state_key"] = self.state_key
return FrozenEvent(event_dict)
# All graphs start with this set of events
INITIAL_EVENTS = [
FakeEvent(
id="CREATE",
sender=ALICE,
type=EventTypes.Create,
state_key="",
content={"creator": ALICE},
),
FakeEvent(
id="IMA",
sender=ALICE,
type=EventTypes.Member,
state_key=ALICE,
content=MEMBERSHIP_CONTENT_JOIN,
),
FakeEvent(
id="IPOWER",
sender=ALICE,
type=EventTypes.PowerLevels,
state_key="",
content={"users": {ALICE: 100}},
),
FakeEvent(
id="IJR",
sender=ALICE,
type=EventTypes.JoinRules,
state_key="",
content={"join_rule": JoinRules.PUBLIC},
),
FakeEvent(
id="IMB",
sender=BOB,
type=EventTypes.Member,
state_key=BOB,
content=MEMBERSHIP_CONTENT_JOIN,
),
FakeEvent(
id="IMC",
sender=CHARLIE,
type=EventTypes.Member,
state_key=CHARLIE,
content=MEMBERSHIP_CONTENT_JOIN,
),
FakeEvent(
id="IMZ",
sender=ZARA,
type=EventTypes.Member,
state_key=ZARA,
content=MEMBERSHIP_CONTENT_JOIN,
),
FakeEvent(
id="START",
sender=ZARA,
type=EventTypes.Message,
state_key=None,
content={},
),
FakeEvent(
id="END",
sender=ZARA,
type=EventTypes.Message,
state_key=None,
content={},
),
]
INITIAL_EDGES = [
"START", "IMZ", "IMC", "IMB", "IJR", "IPOWER", "IMA", "CREATE",
]
class StateTestCase(unittest.TestCase):
def test_ban_vs_pl(self):
events = [
FakeEvent(
id="PA",
sender=ALICE,
type=EventTypes.PowerLevels,
state_key="",
content={
"users": {
ALICE: 100,
BOB: 50,
}
},
),
FakeEvent(
id="MA",
sender=ALICE,
type=EventTypes.Member,
state_key=ALICE,
content={"membership": Membership.JOIN},
),
FakeEvent(
id="MB",
sender=ALICE,
type=EventTypes.Member,
state_key=BOB,
content={"membership": Membership.BAN},
),
FakeEvent(
id="PB",
sender=BOB,
type=EventTypes.PowerLevels,
state_key='',
content={
"users": {
ALICE: 100,
BOB: 50,
},
},
),
]
edges = [
["END", "MB", "MA", "PA", "START"],
["END", "PB", "PA"],
]
expected_state_ids = ["PA", "MA", "MB"]
self.do_check(events, edges, expected_state_ids)
def test_join_rule_evasion(self):
events = [
FakeEvent(
id="JR",
sender=ALICE,
type=EventTypes.JoinRules,
state_key="",
content={"join_rules": JoinRules.PRIVATE},
),
FakeEvent(
id="ME",
sender=EVELYN,
type=EventTypes.Member,
state_key=EVELYN,
content={"membership": Membership.JOIN},
),
]
edges = [
["END", "JR", "START"],
["END", "ME", "START"],
]
expected_state_ids = ["JR"]
self.do_check(events, edges, expected_state_ids)
def test_offtopic_pl(self):
events = [
FakeEvent(
id="PA",
sender=ALICE,
type=EventTypes.PowerLevels,
state_key="",
content={
"users": {
ALICE: 100,
BOB: 50,
}
},
),
FakeEvent(
id="PB",
sender=BOB,
type=EventTypes.PowerLevels,
state_key='',
content={
"users": {
ALICE: 100,
BOB: 50,
CHARLIE: 50,
},
},
),
FakeEvent(
id="PC",
sender=CHARLIE,
type=EventTypes.PowerLevels,
state_key='',
content={
"users": {
ALICE: 100,
BOB: 50,
CHARLIE: 0,
},
},
),
]
edges = [
["END", "PC", "PB", "PA", "START"],
["END", "PA"],
]
expected_state_ids = ["PC"]
self.do_check(events, edges, expected_state_ids)
def test_topic_basic(self):
events = [
FakeEvent(
id="T1",
sender=ALICE,
type=EventTypes.Topic,
state_key="",
content={},
),
FakeEvent(
id="PA1",
sender=ALICE,
type=EventTypes.PowerLevels,
state_key='',
content={
"users": {
ALICE: 100,
BOB: 50,
},
},
),
FakeEvent(
id="T2",
sender=ALICE,
type=EventTypes.Topic,
state_key="",
content={},
),
FakeEvent(
id="PA2",
sender=ALICE,
type=EventTypes.PowerLevels,
state_key='',
content={
"users": {
ALICE: 100,
BOB: 0,
},
},
),
FakeEvent(
id="PB",
sender=BOB,
type=EventTypes.PowerLevels,
state_key='',
content={
"users": {
ALICE: 100,
BOB: 50,
},
},
),
FakeEvent(
id="T3",
sender=BOB,
type=EventTypes.Topic,
state_key="",
content={},
),
]
edges = [
["END", "PA2", "T2", "PA1", "T1", "START"],
["END", "T3", "PB", "PA1"],
]
expected_state_ids = ["PA2", "T2"]
self.do_check(events, edges, expected_state_ids)
def test_topic_reset(self):
events = [
FakeEvent(
id="T1",
sender=ALICE,
type=EventTypes.Topic,
state_key="",
content={},
),
FakeEvent(
id="PA",
sender=ALICE,
type=EventTypes.PowerLevels,
state_key='',
content={
"users": {
ALICE: 100,
BOB: 50,
},
},
),
FakeEvent(
id="T2",
sender=BOB,
type=EventTypes.Topic,
state_key="",
content={},
),
FakeEvent(
id="MB",
sender=ALICE,
type=EventTypes.Member,
state_key=BOB,
content={"membership": Membership.BAN},
),
]
edges = [
["END", "MB", "T2", "PA", "T1", "START"],
["END", "T1"],
]
expected_state_ids = ["T1", "MB", "PA"]
self.do_check(events, edges, expected_state_ids)
def test_topic(self):
events = [
FakeEvent(
id="T1",
sender=ALICE,
type=EventTypes.Topic,
state_key="",
content={},
),
FakeEvent(
id="PA1",
sender=ALICE,
type=EventTypes.PowerLevels,
state_key='',
content={
"users": {
ALICE: 100,
BOB: 50,
},
},
),
FakeEvent(
id="T2",
sender=ALICE,
type=EventTypes.Topic,
state_key="",
content={},
),
FakeEvent(
id="PA2",
sender=ALICE,
type=EventTypes.PowerLevels,
state_key='',
content={
"users": {
ALICE: 100,
BOB: 0,
},
},
),
FakeEvent(
id="PB",
sender=BOB,
type=EventTypes.PowerLevels,
state_key='',
content={
"users": {
ALICE: 100,
BOB: 50,
},
},
),
FakeEvent(
id="T3",
sender=BOB,
type=EventTypes.Topic,
state_key="",
content={},
),
FakeEvent(
id="MZ1",
sender=ZARA,
type=EventTypes.Message,
state_key=None,
content={},
),
FakeEvent(
id="T4",
sender=ALICE,
type=EventTypes.Topic,
state_key="",
content={},
),
]
edges = [
["END", "T4", "MZ1", "PA2", "T2", "PA1", "T1", "START"],
["END", "MZ1", "T3", "PB", "PA1"],
]
expected_state_ids = ["T4", "PA2"]
self.do_check(events, edges, expected_state_ids)
def do_check(self, events, edges, expected_state_ids):
"""Take a list of events and edges and calculate the state of the
graph at END, and asserts it matches `expected_state_ids`
Args:
events (list[FakeEvent])
edges (list[list[str]]): A list of chains of event edges, e.g.
`[[A, B, C]]` are edges A->B and B->C.
expected_state_ids (list[str]): The expected state at END, (excluding
the keys that haven't changed since START).
"""
# We want to sort the events into topological order for processing.
graph = {}
# node_id -> FakeEvent
fake_event_map = {}
for ev in itertools.chain(INITIAL_EVENTS, events):
graph[ev.node_id] = set()
fake_event_map[ev.node_id] = ev
for a, b in pairwise(INITIAL_EDGES):
graph[a].add(b)
for edge_list in edges:
for a, b in pairwise(edge_list):
graph[a].add(b)
# event_id -> FrozenEvent
event_map = {}
# node_id -> state
state_at_event = {}
# We copy the map as the sort consumes the graph
graph_copy = {k: set(v) for k, v in graph.items()}
for node_id in lexicographical_topological_sort(graph_copy, key=lambda e: e):
fake_event = fake_event_map[node_id]
event_id = fake_event.event_id
prev_events = list(graph[node_id])
if len(prev_events) == 0:
state_before = {}
elif len(prev_events) == 1:
state_before = dict(state_at_event[prev_events[0]])
else:
state_d = resolve_events_with_store(
[state_at_event[n] for n in prev_events],
event_map=event_map,
state_res_store=TestStateResolutionStore(event_map),
)
self.assertTrue(state_d.called)
state_before = state_d.result
state_after = dict(state_before)
if fake_event.state_key is not None:
state_after[(fake_event.type, fake_event.state_key)] = event_id
auth_types = set(auth_types_for_event(fake_event))
auth_events = []
for key in auth_types:
if key in state_before:
auth_events.append(state_before[key])
event = fake_event.to_event(auth_events, prev_events)
state_at_event[node_id] = state_after
event_map[event_id] = event
expected_state = {}
for node_id in expected_state_ids:
# expected_state_ids are node IDs rather than event IDs,
# so we have to convert
event_id = EventID(node_id, "example.com").to_string()
event = event_map[event_id]
key = (event.type, event.state_key)
expected_state[key] = event_id
start_state = state_at_event["START"]
end_state = {
key: value
for key, value in state_at_event["END"].items()
if key in expected_state or start_state.get(key) != value
}
self.assertEqual(expected_state, end_state)
class LexicographicalTestCase(unittest.TestCase):
def test_simple(self):
graph = {
"l": {"o"},
"m": {"n", "o"},
"n": {"o"},
"o": set(),
"p": {"o"},
}
res = list(lexicographical_topological_sort(graph, key=lambda x: x))
self.assertEqual(["o", "l", "n", "m", "p"], res)
def pairwise(iterable):
"s -> (s0,s1), (s1,s2), (s2, s3), ..."
a, b = itertools.tee(iterable)
next(b, None)
return zip(a, b)
@attr.s
class TestStateResolutionStore(object):
event_map = 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 {
eid: self.event_map[eid]
for eid in event_ids
if eid in self.event_map
}
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.
"""
# Simple DFS for auth chain
result = set()
stack = list(event_ids)
while stack:
event_id = stack.pop()
if event_id in result:
continue
result.add(event_id)
event = self.event_map[event_id]
for aid, _ in event.auth_events:
stack.append(aid)
return list(result)