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 create_event_id(self):
i = str(self.event_id_count)
self.event_id_count += 1
local_part = str(int(self.clock.time())) + i + random_string(5)
e_id = EventID(local_part, self.hostname)
return e_id.to_string()
def __init__(
self,
id: str,
sender: str,
type: str,
state_key: Optional[str],
content: Mapping[str, object],
):
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
self.room_id = ROOM_ID
def _create_event_id(clock, hostname):
"""Create a new event ID
Args:
clock (Clock)
hostname (str): The server name for the event ID
Returns:
str
"""
global _event_id_counter
i = str(_event_id_counter)
_event_id_counter += 1
local_part = str(int(clock.time())) + i + random_string(5)
e_id = EventID(local_part, hostname)
return e_id.to_string()
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(
FakeClock(),
ROOM_ID,
RoomVersions.V2.identifier,
[state_at_event[n] for n in prev_events],
event_map=event_map,
state_res_store=TestStateResolutionStore(event_map),
)
state_before = self.successResultOf(
defer.ensureDeferred(state_d))
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)
def to_event_id(s):
return EventID(s, SERVER_NAME).to_string()
def do_check(
self,
events: List[FakeEvent],
edges: List[List[str]],
expected_state_ids: List[str],
) -> None:
"""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
edges: A list of chains of event edges, e.g.
`[[A, B, C]]` are edges A->B and B->C.
expected_state_ids: 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: Dict[str, Set[str]] = {}
fake_event_map: Dict[str, FakeEvent] = {}
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_map: Dict[str, EventBase] = {}
state_at_event: Dict[str, StateMap[str]] = {}
# 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])
state_before: StateMap[str]
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(
FakeClock(),
ROOM_ID,
RoomVersions.V2,
[state_at_event[n] for n in prev_events],
event_map=event_map,
state_res_store=TestStateResolutionStore(event_map),
)
state_before = self.successResultOf(
defer.ensureDeferred(state_d))
state_after = dict(state_before)
if fake_event.state_key is not None:
state_after[(fake_event.type, fake_event.state_key)] = event_id
# This type ignore is a bit sad. Things we have tried:
# 1. Define a `GenericEvent` Protocol satisfied by FakeEvent, EventBase and
# EventBuilder. But this is Hard because the relevant attributes are
# DictProperty[T] descriptors on EventBase but normal Ts on FakeEvent.
# 2. Define a `GenericEvent` Protocol describing `FakeEvent` only, and
# change this function to accept Union[Event, EventBase, EventBuilder].
# This seems reasonable to me, but mypy isn't happy. I think that's
# a mypy bug, see https://github.com/python/mypy/issues/5570
# Instead, resort to a type-ignore.
auth_types = set(auth_types_for_event(
RoomVersions.V6, fake_event)) # type: ignore[arg-type]
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)
