165 lines
5.2 KiB
Python
165 lines
5.2 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2014, 2015 OpenMarket 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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from twisted.internet import defer
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from .appservice import (
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ApplicationServiceStore, ApplicationServiceTransactionStore
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)
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from ._base import Cache
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from .directory import DirectoryStore
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from .events import EventsStore
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from .presence import PresenceStore
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from .profile import ProfileStore
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from .registration import RegistrationStore
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from .room import RoomStore
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from .roommember import RoomMemberStore
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from .stream import StreamStore
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from .transactions import TransactionStore
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from .keys import KeyStore
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from .event_federation import EventFederationStore
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from .pusher import PusherStore
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from .push_rule import PushRuleStore
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from .media_repository import MediaRepositoryStore
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from .rejections import RejectionsStore
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from .state import StateStore
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from .signatures import SignatureStore
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from .filtering import FilteringStore
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from .end_to_end_keys import EndToEndKeyStore
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from .receipts import ReceiptsStore
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from .search import SearchStore
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from .tags import TagsStore
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import logging
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logger = logging.getLogger(__name__)
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# Number of msec of granularity to store the user IP 'last seen' time. Smaller
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# times give more inserts into the database even for readonly API hits
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# 120 seconds == 2 minutes
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LAST_SEEN_GRANULARITY = 120*1000
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class DataStore(RoomMemberStore, RoomStore,
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RegistrationStore, StreamStore, ProfileStore,
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PresenceStore, TransactionStore,
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DirectoryStore, KeyStore, StateStore, SignatureStore,
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ApplicationServiceStore,
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EventFederationStore,
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MediaRepositoryStore,
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RejectionsStore,
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FilteringStore,
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PusherStore,
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PushRuleStore,
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ApplicationServiceTransactionStore,
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EventsStore,
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ReceiptsStore,
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EndToEndKeyStore,
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SearchStore,
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TagsStore,
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):
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def __init__(self, hs):
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super(DataStore, self).__init__(hs)
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self.hs = hs
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self.min_token_deferred = self._get_min_token()
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self.min_token = None
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self.client_ip_last_seen = Cache(
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name="client_ip_last_seen",
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keylen=4,
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)
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@defer.inlineCallbacks
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def insert_client_ip(self, user, access_token, ip, user_agent):
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now = int(self._clock.time_msec())
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key = (user.to_string(), access_token, ip)
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try:
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last_seen = self.client_ip_last_seen.get(key)
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except KeyError:
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last_seen = None
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# Rate-limited inserts
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if last_seen is not None and (now - last_seen) < LAST_SEEN_GRANULARITY:
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defer.returnValue(None)
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self.client_ip_last_seen.prefill(key, now)
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# It's safe not to lock here: a) no unique constraint,
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# b) LAST_SEEN_GRANULARITY makes concurrent updates incredibly unlikely
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yield self._simple_upsert(
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"user_ips",
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keyvalues={
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"user_id": user.to_string(),
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"access_token": access_token,
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"ip": ip,
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"user_agent": user_agent,
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},
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values={
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"last_seen": now,
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},
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desc="insert_client_ip",
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lock=False,
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)
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@defer.inlineCallbacks
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def count_daily_users(self):
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"""
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Counts the number of users who used this homeserver in the last 24 hours.
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"""
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def _count_users(txn):
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txn.execute(
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"SELECT COUNT(DISTINCT user_id) AS users"
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" FROM user_ips"
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" WHERE last_seen > ?",
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# This is close enough to a day for our purposes.
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(int(self._clock.time_msec()) - (1000 * 60 * 60 * 24),)
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)
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rows = self.cursor_to_dict(txn)
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if rows:
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return rows[0]["users"]
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return 0
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ret = yield self.runInteraction("count_users", _count_users)
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defer.returnValue(ret)
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def get_user_ip_and_agents(self, user):
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return self._simple_select_list(
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table="user_ips",
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keyvalues={"user_id": user.to_string()},
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retcols=[
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"access_token", "ip", "user_agent", "last_seen"
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],
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desc="get_user_ip_and_agents",
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)
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def are_all_users_on_domain(txn, database_engine, domain):
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sql = database_engine.convert_param_style(
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"SELECT COUNT(*) FROM users WHERE name NOT LIKE ?"
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)
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pat = "%:" + domain
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txn.execute(sql, (pat,))
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num_not_matching = txn.fetchall()[0][0]
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if num_not_matching == 0:
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return True
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return False
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