mirror of
https://git.anonymousland.org/anonymousland/synapse.git
synced 2024-10-01 11:49:51 -04:00
23d701864f
This allows for efficiently finding which users ignore a particular user. Co-authored-by: Erik Johnston <erik@matrix.org>
510 lines
18 KiB
Python
510 lines
18 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2014-2016 OpenMarket Ltd
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# Copyright 2018 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 abc
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import logging
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from typing import Dict, List, Optional, Set, Tuple
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from synapse.api.constants import AccountDataTypes
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from synapse.storage._base import SQLBaseStore, db_to_json
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from synapse.storage.database import DatabasePool
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from synapse.storage.util.id_generators import StreamIdGenerator
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from synapse.types import JsonDict
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from synapse.util import json_encoder
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from synapse.util.caches.descriptors import cached
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from synapse.util.caches.stream_change_cache import StreamChangeCache
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logger = logging.getLogger(__name__)
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# The ABCMeta metaclass ensures that it cannot be instantiated without
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# the abstract methods being implemented.
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class AccountDataWorkerStore(SQLBaseStore, metaclass=abc.ABCMeta):
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"""This is an abstract base class where subclasses must implement
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`get_max_account_data_stream_id` which can be called in the initializer.
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"""
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def __init__(self, database: DatabasePool, db_conn, hs):
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account_max = self.get_max_account_data_stream_id()
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self._account_data_stream_cache = StreamChangeCache(
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"AccountDataAndTagsChangeCache", account_max
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)
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super().__init__(database, db_conn, hs)
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@abc.abstractmethod
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def get_max_account_data_stream_id(self):
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"""Get the current max stream ID for account data stream
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Returns:
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int
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"""
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raise NotImplementedError()
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@cached()
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async def get_account_data_for_user(
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self, user_id: str
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) -> Tuple[Dict[str, JsonDict], Dict[str, Dict[str, JsonDict]]]:
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"""Get all the client account_data for a user.
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Args:
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user_id: The user to get the account_data for.
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Returns:
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A 2-tuple of a dict of global account_data and a dict mapping from
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room_id string to per room account_data dicts.
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"""
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def get_account_data_for_user_txn(txn):
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rows = self.db_pool.simple_select_list_txn(
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txn,
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"account_data",
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{"user_id": user_id},
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["account_data_type", "content"],
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)
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global_account_data = {
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row["account_data_type"]: db_to_json(row["content"]) for row in rows
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}
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rows = self.db_pool.simple_select_list_txn(
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txn,
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"room_account_data",
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{"user_id": user_id},
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["room_id", "account_data_type", "content"],
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)
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by_room = {}
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for row in rows:
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room_data = by_room.setdefault(row["room_id"], {})
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room_data[row["account_data_type"]] = db_to_json(row["content"])
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return global_account_data, by_room
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return await self.db_pool.runInteraction(
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"get_account_data_for_user", get_account_data_for_user_txn
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)
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@cached(num_args=2, max_entries=5000)
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async def get_global_account_data_by_type_for_user(
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self, data_type: str, user_id: str
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) -> Optional[JsonDict]:
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"""
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Returns:
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The account data.
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"""
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result = await self.db_pool.simple_select_one_onecol(
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table="account_data",
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keyvalues={"user_id": user_id, "account_data_type": data_type},
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retcol="content",
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desc="get_global_account_data_by_type_for_user",
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allow_none=True,
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)
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if result:
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return db_to_json(result)
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else:
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return None
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@cached(num_args=2)
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async def get_account_data_for_room(
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self, user_id: str, room_id: str
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) -> Dict[str, JsonDict]:
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"""Get all the client account_data for a user for a room.
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Args:
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user_id: The user to get the account_data for.
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room_id: The room to get the account_data for.
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Returns:
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A dict of the room account_data
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"""
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def get_account_data_for_room_txn(txn):
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rows = self.db_pool.simple_select_list_txn(
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txn,
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"room_account_data",
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{"user_id": user_id, "room_id": room_id},
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["account_data_type", "content"],
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)
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return {
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row["account_data_type"]: db_to_json(row["content"]) for row in rows
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}
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return await self.db_pool.runInteraction(
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"get_account_data_for_room", get_account_data_for_room_txn
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)
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@cached(num_args=3, max_entries=5000)
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async def get_account_data_for_room_and_type(
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self, user_id: str, room_id: str, account_data_type: str
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) -> Optional[JsonDict]:
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"""Get the client account_data of given type for a user for a room.
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Args:
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user_id: The user to get the account_data for.
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room_id: The room to get the account_data for.
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account_data_type: The account data type to get.
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Returns:
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The room account_data for that type, or None if there isn't any set.
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"""
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def get_account_data_for_room_and_type_txn(txn):
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content_json = self.db_pool.simple_select_one_onecol_txn(
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txn,
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table="room_account_data",
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keyvalues={
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"user_id": user_id,
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"room_id": room_id,
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"account_data_type": account_data_type,
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},
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retcol="content",
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allow_none=True,
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)
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return db_to_json(content_json) if content_json else None
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return await self.db_pool.runInteraction(
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"get_account_data_for_room_and_type", get_account_data_for_room_and_type_txn
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)
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async def get_updated_global_account_data(
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self, last_id: int, current_id: int, limit: int
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) -> List[Tuple[int, str, str]]:
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"""Get the global account_data that has changed, for the account_data stream
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Args:
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last_id: the last stream_id from the previous batch.
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current_id: the maximum stream_id to return up to
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limit: the maximum number of rows to return
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Returns:
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A list of tuples of stream_id int, user_id string,
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and type string.
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"""
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if last_id == current_id:
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return []
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def get_updated_global_account_data_txn(txn):
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sql = (
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"SELECT stream_id, user_id, account_data_type"
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" FROM account_data WHERE ? < stream_id AND stream_id <= ?"
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" ORDER BY stream_id ASC LIMIT ?"
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)
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txn.execute(sql, (last_id, current_id, limit))
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return txn.fetchall()
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return await self.db_pool.runInteraction(
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"get_updated_global_account_data", get_updated_global_account_data_txn
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)
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async def get_updated_room_account_data(
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self, last_id: int, current_id: int, limit: int
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) -> List[Tuple[int, str, str, str]]:
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"""Get the global account_data that has changed, for the account_data stream
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Args:
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last_id: the last stream_id from the previous batch.
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current_id: the maximum stream_id to return up to
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limit: the maximum number of rows to return
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Returns:
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A list of tuples of stream_id int, user_id string,
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room_id string and type string.
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"""
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if last_id == current_id:
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return []
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def get_updated_room_account_data_txn(txn):
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sql = (
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"SELECT stream_id, user_id, room_id, account_data_type"
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" FROM room_account_data WHERE ? < stream_id AND stream_id <= ?"
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" ORDER BY stream_id ASC LIMIT ?"
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)
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txn.execute(sql, (last_id, current_id, limit))
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return txn.fetchall()
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return await self.db_pool.runInteraction(
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"get_updated_room_account_data", get_updated_room_account_data_txn
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)
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async def get_updated_account_data_for_user(
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self, user_id: str, stream_id: int
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) -> Tuple[Dict[str, JsonDict], Dict[str, Dict[str, JsonDict]]]:
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"""Get all the client account_data for a that's changed for a user
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Args:
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user_id: The user to get the account_data for.
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stream_id: The point in the stream since which to get updates
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Returns:
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A deferred pair of a dict of global account_data and a dict
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mapping from room_id string to per room account_data dicts.
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"""
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def get_updated_account_data_for_user_txn(txn):
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sql = (
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"SELECT account_data_type, content FROM account_data"
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" WHERE user_id = ? AND stream_id > ?"
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)
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txn.execute(sql, (user_id, stream_id))
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global_account_data = {row[0]: db_to_json(row[1]) for row in txn}
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sql = (
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"SELECT room_id, account_data_type, content FROM room_account_data"
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" WHERE user_id = ? AND stream_id > ?"
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)
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txn.execute(sql, (user_id, stream_id))
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account_data_by_room = {}
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for row in txn:
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room_account_data = account_data_by_room.setdefault(row[0], {})
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room_account_data[row[1]] = db_to_json(row[2])
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return global_account_data, account_data_by_room
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changed = self._account_data_stream_cache.has_entity_changed(
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user_id, int(stream_id)
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)
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if not changed:
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return ({}, {})
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return await self.db_pool.runInteraction(
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"get_updated_account_data_for_user", get_updated_account_data_for_user_txn
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)
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@cached(max_entries=5000, iterable=True)
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async def ignored_by(self, user_id: str) -> Set[str]:
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"""
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Get users which ignore the given user.
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Params:
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user_id: The user ID which might be ignored.
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Return:
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The user IDs which ignore the given user.
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"""
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return set(
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await self.db_pool.simple_select_onecol(
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table="ignored_users",
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keyvalues={"ignored_user_id": user_id},
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retcol="ignorer_user_id",
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desc="ignored_by",
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)
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)
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class AccountDataStore(AccountDataWorkerStore):
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def __init__(self, database: DatabasePool, db_conn, hs):
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self._account_data_id_gen = StreamIdGenerator(
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db_conn,
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"account_data_max_stream_id",
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"stream_id",
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extra_tables=[
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("room_account_data", "stream_id"),
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("room_tags_revisions", "stream_id"),
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],
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)
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super().__init__(database, db_conn, hs)
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def get_max_account_data_stream_id(self) -> int:
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"""Get the current max stream id for the private user data stream
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Returns:
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The maximum stream ID.
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"""
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return self._account_data_id_gen.get_current_token()
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async def add_account_data_to_room(
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self, user_id: str, room_id: str, account_data_type: str, content: JsonDict
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) -> int:
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"""Add some account_data to a room for a user.
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Args:
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user_id: The user to add a tag for.
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room_id: The room to add a tag for.
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account_data_type: The type of account_data to add.
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content: A json object to associate with the tag.
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Returns:
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The maximum stream ID.
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"""
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content_json = json_encoder.encode(content)
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async with self._account_data_id_gen.get_next() as next_id:
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# no need to lock here as room_account_data has a unique constraint
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# on (user_id, room_id, account_data_type) so simple_upsert will
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# retry if there is a conflict.
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await self.db_pool.simple_upsert(
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desc="add_room_account_data",
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table="room_account_data",
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keyvalues={
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"user_id": user_id,
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"room_id": room_id,
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"account_data_type": account_data_type,
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},
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values={"stream_id": next_id, "content": content_json},
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lock=False,
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)
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# it's theoretically possible for the above to succeed and the
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# below to fail - in which case we might reuse a stream id on
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# restart, and the above update might not get propagated. That
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# doesn't sound any worse than the whole update getting lost,
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# which is what would happen if we combined the two into one
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# transaction.
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await self._update_max_stream_id(next_id)
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self._account_data_stream_cache.entity_has_changed(user_id, next_id)
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self.get_account_data_for_user.invalidate((user_id,))
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self.get_account_data_for_room.invalidate((user_id, room_id))
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self.get_account_data_for_room_and_type.prefill(
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(user_id, room_id, account_data_type), content
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)
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return self._account_data_id_gen.get_current_token()
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async def add_account_data_for_user(
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self, user_id: str, account_data_type: str, content: JsonDict
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) -> int:
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"""Add some account_data to a room for a user.
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Args:
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user_id: The user to add a tag for.
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account_data_type: The type of account_data to add.
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content: A json object to associate with the tag.
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Returns:
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The maximum stream ID.
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"""
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async with self._account_data_id_gen.get_next() as next_id:
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await self.db_pool.runInteraction(
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"add_user_account_data",
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self._add_account_data_for_user,
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next_id,
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user_id,
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account_data_type,
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content,
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)
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# it's theoretically possible for the above to succeed and the
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# below to fail - in which case we might reuse a stream id on
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# restart, and the above update might not get propagated. That
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# doesn't sound any worse than the whole update getting lost,
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# which is what would happen if we combined the two into one
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# transaction.
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#
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# Note: This is only here for backwards compat to allow admins to
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# roll back to a previous Synapse version. Next time we update the
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# database version we can remove this table.
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await self._update_max_stream_id(next_id)
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self._account_data_stream_cache.entity_has_changed(user_id, next_id)
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self.get_account_data_for_user.invalidate((user_id,))
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self.get_global_account_data_by_type_for_user.invalidate(
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(account_data_type, user_id)
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)
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return self._account_data_id_gen.get_current_token()
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def _add_account_data_for_user(
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self,
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txn,
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next_id: int,
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user_id: str,
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account_data_type: str,
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content: JsonDict,
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) -> None:
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content_json = json_encoder.encode(content)
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# no need to lock here as account_data has a unique constraint on
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# (user_id, account_data_type) so simple_upsert will retry if
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# there is a conflict.
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self.db_pool.simple_upsert_txn(
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txn,
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table="account_data",
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keyvalues={"user_id": user_id, "account_data_type": account_data_type},
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values={"stream_id": next_id, "content": content_json},
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lock=False,
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)
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# Ignored users get denormalized into a separate table as an optimisation.
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if account_data_type != AccountDataTypes.IGNORED_USER_LIST:
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return
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# Insert / delete to sync the list of ignored users.
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previously_ignored_users = set(
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self.db_pool.simple_select_onecol_txn(
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txn,
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table="ignored_users",
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keyvalues={"ignorer_user_id": user_id},
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retcol="ignored_user_id",
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)
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)
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# If the data is invalid, no one is ignored.
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ignored_users_content = content.get("ignored_users", {})
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if isinstance(ignored_users_content, dict):
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currently_ignored_users = set(ignored_users_content)
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else:
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currently_ignored_users = set()
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# Delete entries which are no longer ignored.
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self.db_pool.simple_delete_many_txn(
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txn,
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table="ignored_users",
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column="ignored_user_id",
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iterable=previously_ignored_users - currently_ignored_users,
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keyvalues={"ignorer_user_id": user_id},
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)
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# Add entries which are newly ignored.
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self.db_pool.simple_insert_many_txn(
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txn,
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table="ignored_users",
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values=[
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{"ignorer_user_id": user_id, "ignored_user_id": u}
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for u in currently_ignored_users - previously_ignored_users
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],
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)
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# Invalidate the cache for any ignored users which were added or removed.
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for ignored_user_id in previously_ignored_users ^ currently_ignored_users:
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self._invalidate_cache_and_stream(txn, self.ignored_by, (ignored_user_id,))
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async def _update_max_stream_id(self, next_id: int) -> None:
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"""Update the max stream_id
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Args:
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next_id: The the revision to advance to.
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"""
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# Note: This is only here for backwards compat to allow admins to
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# roll back to a previous Synapse version. Next time we update the
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# database version we can remove this table.
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def _update(txn):
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update_max_id_sql = (
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"UPDATE account_data_max_stream_id"
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" SET stream_id = ?"
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" WHERE stream_id < ?"
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)
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txn.execute(update_max_id_sql, (next_id, next_id))
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await self.db_pool.runInteraction("update_account_data_max_stream_id", _update)
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