mirror of
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f4c80d70f8
Only count aggregations from distinct senders
477 lines
15 KiB
Python
477 lines
15 KiB
Python
# -*- coding: utf-8 -*-
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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 logging
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import attr
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from twisted.internet import defer
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from synapse.api.constants import RelationTypes
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from synapse.api.errors import SynapseError
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from synapse.storage._base import SQLBaseStore
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from synapse.storage.stream import generate_pagination_where_clause
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from synapse.util.caches.descriptors import cached, cachedInlineCallbacks
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logger = logging.getLogger(__name__)
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@attr.s
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class PaginationChunk(object):
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"""Returned by relation pagination APIs.
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Attributes:
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chunk (list): The rows returned by pagination
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next_batch (Any|None): Token to fetch next set of results with, if
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None then there are no more results.
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prev_batch (Any|None): Token to fetch previous set of results with, if
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None then there are no previous results.
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"""
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chunk = attr.ib()
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next_batch = attr.ib(default=None)
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prev_batch = attr.ib(default=None)
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def to_dict(self):
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d = {"chunk": self.chunk}
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if self.next_batch:
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d["next_batch"] = self.next_batch.to_string()
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if self.prev_batch:
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d["prev_batch"] = self.prev_batch.to_string()
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return d
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@attr.s(frozen=True, slots=True)
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class RelationPaginationToken(object):
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"""Pagination token for relation pagination API.
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As the results are order by topological ordering, we can use the
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`topological_ordering` and `stream_ordering` fields of the events at the
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boundaries of the chunk as pagination tokens.
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Attributes:
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topological (int): The topological ordering of the boundary event
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stream (int): The stream ordering of the boundary event.
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"""
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topological = attr.ib()
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stream = attr.ib()
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@staticmethod
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def from_string(string):
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try:
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t, s = string.split("-")
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return RelationPaginationToken(int(t), int(s))
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except ValueError:
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raise SynapseError(400, "Invalid token")
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def to_string(self):
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return "%d-%d" % (self.topological, self.stream)
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def as_tuple(self):
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return attr.astuple(self)
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@attr.s(frozen=True, slots=True)
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class AggregationPaginationToken(object):
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"""Pagination token for relation aggregation pagination API.
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As the results are order by count and then MAX(stream_ordering) of the
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aggregation groups, we can just use them as our pagination token.
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Attributes:
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count (int): The count of relations in the boundar group.
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stream (int): The MAX stream ordering in the boundary group.
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"""
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count = attr.ib()
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stream = attr.ib()
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@staticmethod
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def from_string(string):
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try:
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c, s = string.split("-")
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return AggregationPaginationToken(int(c), int(s))
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except ValueError:
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raise SynapseError(400, "Invalid token")
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def to_string(self):
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return "%d-%d" % (self.count, self.stream)
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def as_tuple(self):
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return attr.astuple(self)
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class RelationsWorkerStore(SQLBaseStore):
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@cached(tree=True)
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def get_relations_for_event(
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self,
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event_id,
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relation_type=None,
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event_type=None,
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aggregation_key=None,
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limit=5,
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direction="b",
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from_token=None,
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to_token=None,
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):
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"""Get a list of relations for an event, ordered by topological ordering.
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Args:
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event_id (str): Fetch events that relate to this event ID.
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relation_type (str|None): Only fetch events with this relation
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type, if given.
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event_type (str|None): Only fetch events with this event type, if
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given.
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aggregation_key (str|None): Only fetch events with this aggregation
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key, if given.
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limit (int): Only fetch the most recent `limit` events.
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direction (str): Whether to fetch the most recent first (`"b"`) or
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the oldest first (`"f"`).
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from_token (RelationPaginationToken|None): Fetch rows from the given
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token, or from the start if None.
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to_token (RelationPaginationToken|None): Fetch rows up to the given
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token, or up to the end if None.
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Returns:
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Deferred[PaginationChunk]: List of event IDs that match relations
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requested. The rows are of the form `{"event_id": "..."}`.
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"""
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where_clause = ["relates_to_id = ?"]
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where_args = [event_id]
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if relation_type is not None:
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where_clause.append("relation_type = ?")
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where_args.append(relation_type)
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if event_type is not None:
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where_clause.append("type = ?")
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where_args.append(event_type)
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if aggregation_key:
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where_clause.append("aggregation_key = ?")
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where_args.append(aggregation_key)
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pagination_clause = generate_pagination_where_clause(
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direction=direction,
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column_names=("topological_ordering", "stream_ordering"),
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from_token=attr.astuple(from_token) if from_token else None,
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to_token=attr.astuple(to_token) if to_token else None,
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engine=self.database_engine,
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)
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if pagination_clause:
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where_clause.append(pagination_clause)
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if direction == "b":
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order = "DESC"
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else:
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order = "ASC"
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sql = """
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SELECT event_id, topological_ordering, stream_ordering
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FROM event_relations
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INNER JOIN events USING (event_id)
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WHERE %s
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ORDER BY topological_ordering %s, stream_ordering %s
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LIMIT ?
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""" % (
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" AND ".join(where_clause),
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order,
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order,
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)
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def _get_recent_references_for_event_txn(txn):
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txn.execute(sql, where_args + [limit + 1])
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last_topo_id = None
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last_stream_id = None
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events = []
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for row in txn:
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events.append({"event_id": row[0]})
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last_topo_id = row[1]
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last_stream_id = row[2]
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next_batch = None
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if len(events) > limit and last_topo_id and last_stream_id:
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next_batch = RelationPaginationToken(last_topo_id, last_stream_id)
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return PaginationChunk(
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chunk=list(events[:limit]), next_batch=next_batch, prev_batch=from_token
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)
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return self.runInteraction(
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"get_recent_references_for_event", _get_recent_references_for_event_txn
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)
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@cached(tree=True)
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def get_aggregation_groups_for_event(
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self,
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event_id,
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event_type=None,
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limit=5,
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direction="b",
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from_token=None,
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to_token=None,
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):
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"""Get a list of annotations on the event, grouped by event type and
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aggregation key, sorted by count.
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This is used e.g. to get the what and how many reactions have happend
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on an event.
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Args:
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event_id (str): Fetch events that relate to this event ID.
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event_type (str|None): Only fetch events with this event type, if
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given.
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limit (int): Only fetch the `limit` groups.
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direction (str): Whether to fetch the highest count first (`"b"`) or
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the lowest count first (`"f"`).
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from_token (AggregationPaginationToken|None): Fetch rows from the
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given token, or from the start if None.
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to_token (AggregationPaginationToken|None): Fetch rows up to the
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given token, or up to the end if None.
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Returns:
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Deferred[PaginationChunk]: List of groups of annotations that
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match. Each row is a dict with `type`, `key` and `count` fields.
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"""
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where_clause = ["relates_to_id = ?", "relation_type = ?"]
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where_args = [event_id, RelationTypes.ANNOTATION]
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if event_type:
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where_clause.append("type = ?")
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where_args.append(event_type)
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having_clause = generate_pagination_where_clause(
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direction=direction,
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column_names=("COUNT(*)", "MAX(stream_ordering)"),
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from_token=attr.astuple(from_token) if from_token else None,
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to_token=attr.astuple(to_token) if to_token else None,
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engine=self.database_engine,
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)
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if direction == "b":
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order = "DESC"
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else:
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order = "ASC"
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if having_clause:
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having_clause = "HAVING " + having_clause
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else:
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having_clause = ""
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sql = """
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SELECT type, aggregation_key, COUNT(DISTINCT sender), MAX(stream_ordering)
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FROM event_relations
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INNER JOIN events USING (event_id)
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WHERE {where_clause}
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GROUP BY relation_type, type, aggregation_key
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{having_clause}
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ORDER BY COUNT(*) {order}, MAX(stream_ordering) {order}
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LIMIT ?
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""".format(
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where_clause=" AND ".join(where_clause),
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order=order,
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having_clause=having_clause,
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)
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def _get_aggregation_groups_for_event_txn(txn):
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txn.execute(sql, where_args + [limit + 1])
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next_batch = None
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events = []
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for row in txn:
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events.append({"type": row[0], "key": row[1], "count": row[2]})
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next_batch = AggregationPaginationToken(row[2], row[3])
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if len(events) <= limit:
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next_batch = None
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return PaginationChunk(
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chunk=list(events[:limit]), next_batch=next_batch, prev_batch=from_token
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)
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return self.runInteraction(
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"get_aggregation_groups_for_event", _get_aggregation_groups_for_event_txn
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)
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@cachedInlineCallbacks()
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def get_applicable_edit(self, event_id):
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"""Get the most recent edit (if any) that has happened for the given
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event.
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Correctly handles checking whether edits were allowed to happen.
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Args:
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event_id (str): The original event ID
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Returns:
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Deferred[EventBase|None]: Returns the most recent edit, if any.
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"""
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# We only allow edits for `m.room.message` events that have the same sender
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# and event type. We can't assert these things during regular event auth so
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# we have to do the checks post hoc.
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# Fetches latest edit that has the same type and sender as the
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# original, and is an `m.room.message`.
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sql = """
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SELECT edit.event_id FROM events AS edit
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INNER JOIN event_relations USING (event_id)
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INNER JOIN events AS original ON
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original.event_id = relates_to_id
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AND edit.type = original.type
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AND edit.sender = original.sender
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WHERE
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relates_to_id = ?
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AND relation_type = ?
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AND edit.type = 'm.room.message'
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ORDER by edit.origin_server_ts DESC, edit.event_id DESC
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LIMIT 1
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"""
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def _get_applicable_edit_txn(txn):
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txn.execute(sql, (event_id, RelationTypes.REPLACE))
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row = txn.fetchone()
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if row:
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return row[0]
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edit_id = yield self.runInteraction(
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"get_applicable_edit", _get_applicable_edit_txn
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)
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if not edit_id:
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return
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edit_event = yield self.get_event(edit_id, allow_none=True)
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defer.returnValue(edit_event)
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def has_user_annotated_event(self, parent_id, event_type, aggregation_key, sender):
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"""Check if a user has already annotated an event with the same key
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(e.g. already liked an event).
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Args:
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parent_id (str): The event being annotated
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event_type (str): The event type of the annotation
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aggregation_key (str): The aggregation key of the annotation
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sender (str): The sender of the annotation
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Returns:
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Deferred[bool]
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"""
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sql = """
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SELECT 1 FROM event_relations
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INNER JOIN events USING (event_id)
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WHERE
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relates_to_id = ?
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AND relation_type = ?
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AND type = ?
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AND sender = ?
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AND aggregation_key = ?
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LIMIT 1;
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"""
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def _get_if_user_has_annotated_event(txn):
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txn.execute(
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sql,
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(
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parent_id,
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RelationTypes.ANNOTATION,
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event_type,
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sender,
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aggregation_key,
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),
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)
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return bool(txn.fetchone())
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return self.runInteraction(
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"get_if_user_has_annotated_event", _get_if_user_has_annotated_event
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)
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class RelationsStore(RelationsWorkerStore):
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def _handle_event_relations(self, txn, event):
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"""Handles inserting relation data during peristence of events
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Args:
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txn
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event (EventBase)
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"""
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relation = event.content.get("m.relates_to")
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if not relation:
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# No relations
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return
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rel_type = relation.get("rel_type")
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if rel_type not in (
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RelationTypes.ANNOTATION,
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RelationTypes.REFERENCE,
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RelationTypes.REPLACE,
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):
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# Unknown relation type
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return
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parent_id = relation.get("event_id")
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if not parent_id:
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# Invalid relation
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return
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aggregation_key = relation.get("key")
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self._simple_insert_txn(
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txn,
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table="event_relations",
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values={
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"event_id": event.event_id,
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"relates_to_id": parent_id,
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"relation_type": rel_type,
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"aggregation_key": aggregation_key,
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},
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)
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txn.call_after(self.get_relations_for_event.invalidate_many, (parent_id,))
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txn.call_after(
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self.get_aggregation_groups_for_event.invalidate_many, (parent_id,)
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)
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if rel_type == RelationTypes.REPLACE:
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txn.call_after(self.get_applicable_edit.invalidate, (parent_id,))
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def _handle_redaction(self, txn, redacted_event_id):
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"""Handles receiving a redaction and checking whether we need to remove
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any redacted relations from the database.
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Args:
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txn
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redacted_event_id (str): The event that was redacted.
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"""
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self._simple_delete_txn(
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txn,
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table="event_relations",
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keyvalues={
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"event_id": redacted_event_id,
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}
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)
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