forked-synapse/synapse/storage/databases/main/account_data.py

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# -*- coding: utf-8 -*-
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# Copyright 2014-2016 OpenMarket Ltd
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# 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.
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import abc
import logging
from typing import Dict, List, Optional, Set, Tuple
from synapse.api.constants import AccountDataTypes
from synapse.storage._base import SQLBaseStore, db_to_json
from synapse.storage.database import DatabasePool
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from synapse.storage.util.id_generators import StreamIdGenerator
from synapse.types import JsonDict
from synapse.util import json_encoder
from synapse.util.caches.descriptors import cached
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from synapse.util.caches.stream_change_cache import StreamChangeCache
logger = logging.getLogger(__name__)
# The ABCMeta metaclass ensures that it cannot be instantiated without
# the abstract methods being implemented.
class AccountDataWorkerStore(SQLBaseStore, metaclass=abc.ABCMeta):
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"""This is an abstract base class where subclasses must implement
`get_max_account_data_stream_id` which can be called in the initializer.
"""
def __init__(self, database: DatabasePool, db_conn, hs):
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account_max = self.get_max_account_data_stream_id()
self._account_data_stream_cache = StreamChangeCache(
"AccountDataAndTagsChangeCache", account_max
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)
super().__init__(database, db_conn, hs)
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@abc.abstractmethod
def get_max_account_data_stream_id(self):
"""Get the current max stream ID for account data stream
Returns:
int
"""
raise NotImplementedError()
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@cached()
async def get_account_data_for_user(
self, user_id: str
) -> Tuple[Dict[str, JsonDict], Dict[str, Dict[str, JsonDict]]]:
"""Get all the client account_data for a user.
Args:
user_id: The user to get the account_data for.
Returns:
A 2-tuple of a dict of global account_data and a dict mapping from
room_id string to per room account_data dicts.
"""
def get_account_data_for_user_txn(txn):
rows = self.db_pool.simple_select_list_txn(
txn,
"account_data",
{"user_id": user_id},
["account_data_type", "content"],
)
global_account_data = {
row["account_data_type"]: db_to_json(row["content"]) for row in rows
}
rows = self.db_pool.simple_select_list_txn(
txn,
"room_account_data",
{"user_id": user_id},
["room_id", "account_data_type", "content"],
)
by_room = {}
for row in rows:
room_data = by_room.setdefault(row["room_id"], {})
room_data[row["account_data_type"]] = db_to_json(row["content"])
return global_account_data, by_room
return await self.db_pool.runInteraction(
"get_account_data_for_user", get_account_data_for_user_txn
)
@cached(num_args=2, max_entries=5000)
async def get_global_account_data_by_type_for_user(
self, data_type: str, user_id: str
) -> Optional[JsonDict]:
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"""
Returns:
The account data.
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"""
result = await self.db_pool.simple_select_one_onecol(
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table="account_data",
keyvalues={"user_id": user_id, "account_data_type": data_type},
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retcol="content",
desc="get_global_account_data_by_type_for_user",
allow_none=True,
)
if result:
return db_to_json(result)
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else:
return None
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@cached(num_args=2)
async def get_account_data_for_room(
self, user_id: str, room_id: str
) -> Dict[str, JsonDict]:
"""Get all the client account_data for a user for a room.
Args:
user_id: The user to get the account_data for.
room_id: The room to get the account_data for.
Returns:
A dict of the room account_data
"""
def get_account_data_for_room_txn(txn):
rows = self.db_pool.simple_select_list_txn(
txn,
"room_account_data",
{"user_id": user_id, "room_id": room_id},
["account_data_type", "content"],
)
return {
row["account_data_type"]: db_to_json(row["content"]) for row in rows
}
return await self.db_pool.runInteraction(
"get_account_data_for_room", get_account_data_for_room_txn
)
@cached(num_args=3, max_entries=5000)
async def get_account_data_for_room_and_type(
self, user_id: str, room_id: str, account_data_type: str
) -> Optional[JsonDict]:
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"""Get the client account_data of given type for a user for a room.
Args:
user_id: The user to get the account_data for.
room_id: The room to get the account_data for.
account_data_type: The account data type to get.
Returns:
The room account_data for that type, or None if there isn't any set.
"""
def get_account_data_for_room_and_type_txn(txn):
content_json = self.db_pool.simple_select_one_onecol_txn(
txn,
table="room_account_data",
keyvalues={
"user_id": user_id,
"room_id": room_id,
"account_data_type": account_data_type,
},
retcol="content",
allow_none=True,
)
return db_to_json(content_json) if content_json else None
return await self.db_pool.runInteraction(
"get_account_data_for_room_and_type", get_account_data_for_room_and_type_txn
)
async def get_updated_global_account_data(
self, last_id: int, current_id: int, limit: int
) -> List[Tuple[int, str, str]]:
"""Get the global account_data that has changed, for the account_data stream
Args:
last_id: the last stream_id from the previous batch.
current_id: the maximum stream_id to return up to
limit: the maximum number of rows to return
Returns:
A list of tuples of stream_id int, user_id string,
and type string.
"""
if last_id == current_id:
return []
def get_updated_global_account_data_txn(txn):
sql = (
"SELECT stream_id, user_id, account_data_type"
" FROM account_data WHERE ? < stream_id AND stream_id <= ?"
" ORDER BY stream_id ASC LIMIT ?"
)
txn.execute(sql, (last_id, current_id, limit))
return txn.fetchall()
return await self.db_pool.runInteraction(
"get_updated_global_account_data", get_updated_global_account_data_txn
)
async def get_updated_room_account_data(
self, last_id: int, current_id: int, limit: int
) -> List[Tuple[int, str, str, str]]:
"""Get the global account_data that has changed, for the account_data stream
Args:
last_id: the last stream_id from the previous batch.
current_id: the maximum stream_id to return up to
limit: the maximum number of rows to return
Returns:
A list of tuples of stream_id int, user_id string,
room_id string and type string.
"""
if last_id == current_id:
return []
def get_updated_room_account_data_txn(txn):
sql = (
"SELECT stream_id, user_id, room_id, account_data_type"
" FROM room_account_data WHERE ? < stream_id AND stream_id <= ?"
" ORDER BY stream_id ASC LIMIT ?"
)
txn.execute(sql, (last_id, current_id, limit))
return txn.fetchall()
return await self.db_pool.runInteraction(
"get_updated_room_account_data", get_updated_room_account_data_txn
)
async def get_updated_account_data_for_user(
self, user_id: str, stream_id: int
) -> Tuple[Dict[str, JsonDict], Dict[str, Dict[str, JsonDict]]]:
"""Get all the client account_data for a that's changed for a user
Args:
user_id: The user to get the account_data for.
stream_id: The point in the stream since which to get updates
Returns:
A deferred pair of a dict of global account_data and a dict
mapping from room_id string to per room account_data dicts.
"""
def get_updated_account_data_for_user_txn(txn):
sql = (
"SELECT account_data_type, content FROM account_data"
" WHERE user_id = ? AND stream_id > ?"
)
txn.execute(sql, (user_id, stream_id))
global_account_data = {row[0]: db_to_json(row[1]) for row in txn}
sql = (
"SELECT room_id, account_data_type, content FROM room_account_data"
" WHERE user_id = ? AND stream_id > ?"
)
txn.execute(sql, (user_id, stream_id))
account_data_by_room = {}
for row in txn:
room_account_data = account_data_by_room.setdefault(row[0], {})
room_account_data[row[1]] = db_to_json(row[2])
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)
)
if not changed:
return ({}, {})
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return await self.db_pool.runInteraction(
"get_updated_account_data_for_user", get_updated_account_data_for_user_txn
)
@cached(max_entries=5000, iterable=True)
async def ignored_by(self, user_id: str) -> Set[str]:
"""
Get users which ignore the given user.
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Params:
user_id: The user ID which might be ignored.
Return:
The user IDs which ignore the given user.
"""
return set(
await self.db_pool.simple_select_onecol(
table="ignored_users",
keyvalues={"ignored_user_id": user_id},
retcol="ignorer_user_id",
desc="ignored_by",
)
)
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class AccountDataStore(AccountDataWorkerStore):
def __init__(self, database: DatabasePool, db_conn, hs):
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self._account_data_id_gen = StreamIdGenerator(
db_conn,
"room_account_data",
"stream_id",
extra_tables=[("room_tags_revisions", "stream_id")],
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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
Returns:
The maximum stream ID.
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"""
return self._account_data_id_gen.get_current_token()
async def add_account_data_to_room(
self, user_id: str, room_id: str, account_data_type: str, content: JsonDict
) -> int:
"""Add some account_data to a room for a user.
Args:
user_id: The user to add a tag for.
room_id: The room to add a tag for.
account_data_type: The type of account_data to add.
content: A json object to associate with the tag.
Returns:
The maximum stream ID.
"""
content_json = json_encoder.encode(content)
async with self._account_data_id_gen.get_next() as next_id:
# no need to lock here as room_account_data has a unique constraint
# on (user_id, room_id, account_data_type) so simple_upsert will
# retry if there is a conflict.
await self.db_pool.simple_upsert(
desc="add_room_account_data",
table="room_account_data",
keyvalues={
"user_id": user_id,
"room_id": room_id,
"account_data_type": account_data_type,
},
values={"stream_id": next_id, "content": content_json},
lock=False,
)
self._account_data_stream_cache.entity_has_changed(user_id, next_id)
self.get_account_data_for_user.invalidate((user_id,))
self.get_account_data_for_room.invalidate((user_id, room_id))
self.get_account_data_for_room_and_type.prefill(
(user_id, room_id, account_data_type), content
)
return self._account_data_id_gen.get_current_token()
async def add_account_data_for_user(
self, user_id: str, account_data_type: str, content: JsonDict
) -> int:
"""Add some account_data to a room for a user.
Args:
user_id: The user to add a tag for.
account_data_type: The type of account_data to add.
content: A json object to associate with the tag.
Returns:
The maximum stream ID.
"""
async with self._account_data_id_gen.get_next() as next_id:
await self.db_pool.runInteraction(
"add_user_account_data",
self._add_account_data_for_user,
next_id,
user_id,
account_data_type,
content,
)
self._account_data_stream_cache.entity_has_changed(user_id, next_id)
self.get_account_data_for_user.invalidate((user_id,))
self.get_global_account_data_by_type_for_user.invalidate(
(account_data_type, user_id)
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)
return self._account_data_id_gen.get_current_token()
def _add_account_data_for_user(
self,
txn,
next_id: int,
user_id: str,
account_data_type: str,
content: JsonDict,
) -> None:
content_json = json_encoder.encode(content)
# no need to lock here as account_data has a unique constraint on
# (user_id, account_data_type) so simple_upsert will retry if
# there is a conflict.
self.db_pool.simple_upsert_txn(
txn,
table="account_data",
keyvalues={"user_id": user_id, "account_data_type": account_data_type},
values={"stream_id": next_id, "content": content_json},
lock=False,
)
# Ignored users get denormalized into a separate table as an optimisation.
if account_data_type != AccountDataTypes.IGNORED_USER_LIST:
return
# Insert / delete to sync the list of ignored users.
previously_ignored_users = set(
self.db_pool.simple_select_onecol_txn(
txn,
table="ignored_users",
keyvalues={"ignorer_user_id": user_id},
retcol="ignored_user_id",
)
)
# If the data is invalid, no one is ignored.
ignored_users_content = content.get("ignored_users", {})
if isinstance(ignored_users_content, dict):
currently_ignored_users = set(ignored_users_content)
else:
currently_ignored_users = set()
# Delete entries which are no longer ignored.
self.db_pool.simple_delete_many_txn(
txn,
table="ignored_users",
column="ignored_user_id",
iterable=previously_ignored_users - currently_ignored_users,
keyvalues={"ignorer_user_id": user_id},
)
# Add entries which are newly ignored.
self.db_pool.simple_insert_many_txn(
txn,
table="ignored_users",
values=[
{"ignorer_user_id": user_id, "ignored_user_id": u}
for u in currently_ignored_users - previously_ignored_users
],
)
# Invalidate the cache for any ignored users which were added or removed.
for ignored_user_id in previously_ignored_users ^ currently_ignored_users:
self._invalidate_cache_and_stream(txn, self.ignored_by, (ignored_user_id,))