148 lines
4.4 KiB
Python
148 lines
4.4 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2017 Vector Creations Ltd
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# Copyright 2019 New Vector Ltd
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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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import heapq
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from typing import Tuple, Type
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import attr
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from ._base import Stream, db_query_to_update_function
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"""Handling of the 'events' replication stream
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This stream contains rows of various types. Each row therefore contains a 'type'
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identifier before the real data. For example::
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RDATA events batch ["state", ["!room:id", "m.type", "", "$event:id"]]
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RDATA events 12345 ["ev", ["$event:id", "!room:id", "m.type", null, null]]
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An "ev" row is sent for each new event. The fields in the data part are:
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* The new event id
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* The room id for the event
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* The type of the new event
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* The state key of the event, for state events
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* The event id of an event which is redacted by this event.
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A "state" row is sent whenever the "current state" in a room changes. The fields in the
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data part are:
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* The room id for the state change
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* The event type of the state which has changed
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* The state_key of the state which has changed
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* The event id of the new state
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"""
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@attr.s(slots=True, frozen=True)
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class EventsStreamRow(object):
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"""A parsed row from the events replication stream"""
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type = attr.ib() # str: the TypeId of one of the *EventsStreamRows
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data = attr.ib() # BaseEventsStreamRow
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class BaseEventsStreamRow(object):
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"""Base class for rows to be sent in the events stream.
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Specifies how to identify, serialize and deserialize the different types.
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"""
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# Unique string that ids the type. Must be overriden in sub classes.
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TypeId = None # type: str
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@classmethod
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def from_data(cls, data):
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"""Parse the data from the replication stream into a row.
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By default we just call the constructor with the data list as arguments
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Args:
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data: The value of the data object from the replication stream
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"""
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return cls(*data)
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@attr.s(slots=True, frozen=True)
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class EventsStreamEventRow(BaseEventsStreamRow):
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TypeId = "ev"
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event_id = attr.ib() # str
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room_id = attr.ib() # str
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type = attr.ib() # str
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state_key = attr.ib() # str, optional
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redacts = attr.ib() # str, optional
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relates_to = attr.ib() # str, optional
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@attr.s(slots=True, frozen=True)
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class EventsStreamCurrentStateRow(BaseEventsStreamRow):
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TypeId = "state"
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room_id = attr.ib() # str
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type = attr.ib() # str
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state_key = attr.ib() # str
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event_id = attr.ib() # str, optional
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_EventRows = (
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EventsStreamEventRow,
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EventsStreamCurrentStateRow,
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) # type: Tuple[Type[BaseEventsStreamRow], ...]
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TypeToRow = {Row.TypeId: Row for Row in _EventRows}
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class EventsStream(Stream):
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"""We received a new event, or an event went from being an outlier to not
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"""
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NAME = "events"
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def __init__(self, hs):
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self._store = hs.get_datastore()
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self.current_token = self._store.get_current_events_token # type: ignore
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self.update_function = db_query_to_update_function(self._update_function) # type: ignore
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super(EventsStream, self).__init__(hs)
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async def _update_function(self, from_token, current_token, limit=None):
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event_rows = await self._store.get_all_new_forward_event_rows(
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from_token, current_token, limit
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)
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event_updates = (
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(row[0], EventsStreamEventRow.TypeId, row[1:]) for row in event_rows
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)
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state_rows = await self._store.get_all_updated_current_state_deltas(
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from_token, current_token, limit
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)
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state_updates = (
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(row[0], EventsStreamCurrentStateRow.TypeId, row[1:]) for row in state_rows
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)
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all_updates = heapq.merge(event_updates, state_updates)
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return all_updates
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@classmethod
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def parse_row(cls, row):
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(typ, data) = row
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data = TypeToRow[typ].from_data(data)
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return EventsStreamRow(typ, data)
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