2014-08-12 10:10:52 -04:00
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# -*- coding: utf-8 -*-
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2016-01-06 23:26:29 -05:00
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# Copyright 2014-2016 OpenMarket Ltd
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2018-02-23 05:39:19 -05:00
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# Copyright 2018 New Vector Ltd
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2014-08-12 10:10:52 -04:00
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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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2018-12-05 12:52:42 -05:00
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import calendar
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2018-04-25 12:37:29 -04:00
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import logging
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2018-07-09 02:09:20 -04:00
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import time
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2018-04-25 12:37:29 -04:00
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2019-04-04 09:21:16 -04:00
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from twisted.internet import defer
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2018-07-09 02:09:20 -04:00
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from synapse.api.constants import PresenceState
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2016-07-15 08:19:07 -04:00
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from synapse.storage.devices import DeviceStore
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2018-06-25 08:42:55 -04:00
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from synapse.storage.user_erasure_store import UserErasureStore
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2018-07-09 02:09:20 -04:00
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from synapse.util.caches.stream_change_cache import StreamChangeCache
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from .account_data import AccountDataStore
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from .appservice import ApplicationServiceStore, ApplicationServiceTransactionStore
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from .client_ips import ClientIpStore
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from .deviceinbox import DeviceInboxStore
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2014-08-12 10:10:52 -04:00
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from .directory import DirectoryStore
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2017-12-05 16:44:25 -05:00
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from .e2e_room_keys import EndToEndRoomKeyStore
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2018-07-09 02:09:20 -04:00
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from .end_to_end_keys import EndToEndKeyStore
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from .engines import PostgresEngine
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from .event_federation import EventFederationStore
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from .event_push_actions import EventPushActionsStore
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from .events import EventsStore
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from .events_bg_updates import EventsBackgroundUpdatesStore
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from .filtering import FilteringStore
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from .group_server import GroupServerStore
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from .keys import KeyStore
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from .media_repository import MediaRepositoryStore
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2018-08-02 08:47:19 -04:00
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from .monthly_active_users import MonthlyActiveUsersStore
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from .openid import OpenIdStore
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from .presence import PresenceStore, UserPresenceState
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from .profile import ProfileStore
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from .push_rule import PushRuleStore
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from .pusher import PusherStore
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from .receipts import ReceiptsStore
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from .registration import RegistrationStore
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from .rejections import RejectionsStore
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from .relations import RelationsStore
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from .room import RoomStore
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from .roommember import RoomMemberStore
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from .search import SearchStore
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from .signatures import SignatureStore
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from .state import StateStore
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from .stats import StatsStore
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from .stream import StreamStore
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from .tags import TagsStore
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from .transactions import TransactionStore
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from .user_directory import UserDirectoryStore
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from .util.id_generators import ChainedIdGenerator, IdGenerator, StreamIdGenerator
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2014-08-19 09:20:03 -04:00
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logger = logging.getLogger(__name__)
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2018-07-31 08:16:20 -04:00
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2019-04-03 05:07:29 -04:00
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class DataStore(
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EventsBackgroundUpdatesStore,
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RoomMemberStore,
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RoomStore,
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RegistrationStore,
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StreamStore,
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ProfileStore,
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PresenceStore,
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TransactionStore,
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DirectoryStore,
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KeyStore,
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StateStore,
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SignatureStore,
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ApplicationServiceStore,
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EventsStore,
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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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ReceiptsStore,
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EndToEndKeyStore,
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EndToEndRoomKeyStore,
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SearchStore,
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TagsStore,
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AccountDataStore,
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EventPushActionsStore,
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OpenIdStore,
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ClientIpStore,
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DeviceStore,
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DeviceInboxStore,
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UserDirectoryStore,
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GroupServerStore,
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UserErasureStore,
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MonthlyActiveUsersStore,
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StatsStore,
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RelationsStore,
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):
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def __init__(self, db_conn, hs):
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self.hs = hs
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self._clock = hs.get_clock()
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self.database_engine = hs.database_engine
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2016-01-26 10:51:06 -05:00
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self._stream_id_gen = StreamIdGenerator(
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db_conn,
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"events",
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"stream_ordering",
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extra_tables=[("local_invites", "stream_id")],
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)
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self._backfill_id_gen = StreamIdGenerator(
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db_conn,
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"events",
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"stream_ordering",
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step=-1,
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extra_tables=[("ex_outlier_stream", "event_stream_ordering")],
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)
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self._presence_id_gen = StreamIdGenerator(
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db_conn, "presence_stream", "stream_id"
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)
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self._device_inbox_id_gen = StreamIdGenerator(
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db_conn, "device_max_stream_id", "stream_id"
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)
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self._public_room_id_gen = StreamIdGenerator(
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db_conn, "public_room_list_stream", "stream_id"
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)
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self._device_list_id_gen = StreamIdGenerator(
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db_conn, "device_lists_stream", "stream_id"
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)
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2016-01-26 10:51:06 -05:00
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2016-03-01 09:32:56 -05:00
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self._access_tokens_id_gen = IdGenerator(db_conn, "access_tokens", "id")
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self._event_reports_id_gen = IdGenerator(db_conn, "event_reports", "id")
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self._push_rule_id_gen = IdGenerator(db_conn, "push_rules", "id")
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self._push_rules_enable_id_gen = IdGenerator(db_conn, "push_rules_enable", "id")
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self._push_rules_stream_id_gen = ChainedIdGenerator(
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self._stream_id_gen, db_conn, "push_rules_stream", "stream_id"
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)
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self._pushers_id_gen = StreamIdGenerator(
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db_conn, "pushers", "id", extra_tables=[("deleted_pushers", "stream_id")]
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)
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self._group_updates_id_gen = StreamIdGenerator(
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db_conn, "local_group_updates", "stream_id"
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)
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if isinstance(self.database_engine, PostgresEngine):
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self._cache_id_gen = StreamIdGenerator(
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db_conn, "cache_invalidation_stream", "stream_id"
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)
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else:
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self._cache_id_gen = None
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2016-06-03 06:05:53 -04:00
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self._presence_on_startup = self._get_active_presence(db_conn)
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presence_cache_prefill, min_presence_val = self._get_cache_dict(
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db_conn,
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"presence_stream",
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entity_column="user_id",
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stream_column="stream_id",
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max_value=self._presence_id_gen.get_current_token(),
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)
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self.presence_stream_cache = StreamChangeCache(
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"PresenceStreamChangeCache",
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min_presence_val,
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prefilled_cache=presence_cache_prefill,
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)
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2016-09-07 10:27:07 -04:00
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max_device_inbox_id = self._device_inbox_id_gen.get_current_token()
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device_inbox_prefill, min_device_inbox_id = self._get_cache_dict(
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db_conn,
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"device_inbox",
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entity_column="user_id",
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stream_column="stream_id",
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max_value=max_device_inbox_id,
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limit=1000,
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)
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self._device_inbox_stream_cache = StreamChangeCache(
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"DeviceInboxStreamChangeCache",
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min_device_inbox_id,
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prefilled_cache=device_inbox_prefill,
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)
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# The federation outbox and the local device inbox uses the same
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# stream_id generator.
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device_outbox_prefill, min_device_outbox_id = self._get_cache_dict(
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db_conn,
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"device_federation_outbox",
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entity_column="destination",
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stream_column="stream_id",
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max_value=max_device_inbox_id,
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limit=1000,
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)
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self._device_federation_outbox_stream_cache = StreamChangeCache(
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"DeviceFederationOutboxStreamChangeCache",
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min_device_outbox_id,
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prefilled_cache=device_outbox_prefill,
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)
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2017-01-25 09:27:27 -05:00
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device_list_max = self._device_list_id_gen.get_current_token()
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self._device_list_stream_cache = StreamChangeCache(
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"DeviceListStreamChangeCache", device_list_max
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)
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self._device_list_federation_stream_cache = StreamChangeCache(
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"DeviceListFederationStreamChangeCache", device_list_max
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)
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2018-03-01 11:23:48 -05:00
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events_max = self._stream_id_gen.get_current_token()
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curr_state_delta_prefill, min_curr_state_delta_id = self._get_cache_dict(
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db_conn,
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"current_state_delta_stream",
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entity_column="room_id",
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stream_column="stream_id",
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max_value=events_max, # As we share the stream id with events token
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limit=1000,
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)
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self._curr_state_delta_stream_cache = StreamChangeCache(
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"_curr_state_delta_stream_cache",
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min_curr_state_delta_id,
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prefilled_cache=curr_state_delta_prefill,
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)
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2017-07-10 09:53:19 -04:00
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_group_updates_prefill, min_group_updates_id = self._get_cache_dict(
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db_conn,
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"local_group_updates",
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entity_column="user_id",
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stream_column="stream_id",
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max_value=self._group_updates_id_gen.get_current_token(),
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limit=1000,
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)
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self._group_updates_stream_cache = StreamChangeCache(
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"_group_updates_stream_cache",
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min_group_updates_id,
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prefilled_cache=_group_updates_prefill,
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)
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2016-09-15 12:34:59 -04:00
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self._stream_order_on_start = self.get_room_max_stream_ordering()
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2016-12-08 08:02:58 -05:00
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self._min_stream_order_on_start = self.get_room_min_stream_ordering()
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2018-05-15 12:01:33 -04:00
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# Used in _generate_user_daily_visits to keep track of progress
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self._last_user_visit_update = self._get_start_of_day()
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2017-11-09 13:51:27 -05:00
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super(DataStore, self).__init__(db_conn, hs)
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2016-02-15 12:10:40 -05:00
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def take_presence_startup_info(self):
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active_on_startup = self._presence_on_startup
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self._presence_on_startup = None
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return active_on_startup
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def _get_active_presence(self, db_conn):
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"""Fetch non-offline presence from the database so that we can register
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the appropriate time outs.
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"""
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sql = (
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"SELECT user_id, state, last_active_ts, last_federation_update_ts,"
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" last_user_sync_ts, status_msg, currently_active FROM presence_stream"
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" WHERE state != ?"
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)
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sql = self.database_engine.convert_param_style(sql)
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txn = db_conn.cursor()
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txn.execute(sql, (PresenceState.OFFLINE,))
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rows = self.cursor_to_dict(txn)
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txn.close()
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2016-02-15 12:10:40 -05:00
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for row in rows:
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row["currently_active"] = bool(row["currently_active"])
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|
|
|
|
|
|
|
return [UserPresenceState(**row) for row in rows]
|
|
|
|
|
2015-09-22 07:57:40 -04:00
|
|
|
def count_daily_users(self):
|
2015-09-22 08:47:40 -04:00
|
|
|
"""
|
|
|
|
Counts the number of users who used this homeserver in the last 24 hours.
|
|
|
|
"""
|
2019-06-10 18:33:59 -04:00
|
|
|
yesterday = int(self._clock.time_msec()) - (1000 * 60 * 60 * 24)
|
2019-06-20 05:32:02 -04:00
|
|
|
return self.runInteraction("count_daily_users", self._count_users, yesterday)
|
2019-04-03 05:07:29 -04:00
|
|
|
|
2019-06-10 18:33:59 -04:00
|
|
|
def count_monthly_users(self):
|
|
|
|
"""
|
|
|
|
Counts the number of users who used this homeserver in the last 30 days.
|
|
|
|
Note this method is intended for phonehome metrics only and is different
|
|
|
|
from the mau figure in synapse.storage.monthly_active_users which,
|
|
|
|
amongst other things, includes a 3 day grace period before a user counts.
|
|
|
|
"""
|
|
|
|
thirty_days_ago = int(self._clock.time_msec()) - (1000 * 60 * 60 * 24 * 30)
|
|
|
|
return self.runInteraction(
|
2019-06-20 05:32:02 -04:00
|
|
|
"count_monthly_users", self._count_users, thirty_days_ago
|
2019-06-10 18:33:59 -04:00
|
|
|
)
|
2015-09-22 07:57:40 -04:00
|
|
|
|
2019-06-10 18:33:59 -04:00
|
|
|
def _count_users(self, txn, time_from):
|
|
|
|
"""
|
|
|
|
Returns number of users seen in the past time_from period
|
|
|
|
"""
|
|
|
|
sql = """
|
|
|
|
SELECT COALESCE(count(*), 0) FROM (
|
|
|
|
SELECT user_id FROM user_ips
|
|
|
|
WHERE last_seen > ?
|
|
|
|
GROUP BY user_id
|
|
|
|
) u
|
|
|
|
"""
|
|
|
|
txn.execute(sql, (time_from,))
|
|
|
|
count, = txn.fetchone()
|
|
|
|
return count
|
2018-03-28 11:25:53 -04:00
|
|
|
|
2018-03-28 05:39:13 -04:00
|
|
|
def count_r30_users(self):
|
|
|
|
"""
|
|
|
|
Counts the number of 30 day retained users, defined as:-
|
2018-04-10 12:38:16 -04:00
|
|
|
* Users who have created their accounts more than 30 days ago
|
2018-03-28 05:39:13 -04:00
|
|
|
* Where last seen at most 30 days ago
|
2018-04-10 12:38:16 -04:00
|
|
|
* Where account creation and last_seen are > 30 days apart
|
2018-03-29 11:45:34 -04:00
|
|
|
|
|
|
|
Returns counts globaly for a given user as well as breaking
|
|
|
|
by platform
|
2018-03-28 05:39:13 -04:00
|
|
|
"""
|
2019-04-03 05:07:29 -04:00
|
|
|
|
2018-03-28 05:39:13 -04:00
|
|
|
def _count_r30_users(txn):
|
|
|
|
thirty_days_in_secs = 86400 * 30
|
2018-04-09 13:43:48 -04:00
|
|
|
now = int(self._clock.time())
|
|
|
|
thirty_days_ago_in_secs = now - thirty_days_in_secs
|
2018-04-09 13:44:20 -04:00
|
|
|
|
2018-03-29 11:45:34 -04:00
|
|
|
sql = """
|
|
|
|
SELECT platform, COALESCE(count(*), 0) FROM (
|
2018-04-05 07:16:46 -04:00
|
|
|
SELECT
|
|
|
|
users.name, platform, users.creation_ts * 1000,
|
|
|
|
MAX(uip.last_seen)
|
2018-03-29 11:45:34 -04:00
|
|
|
FROM users
|
|
|
|
INNER JOIN (
|
|
|
|
SELECT
|
|
|
|
user_id,
|
|
|
|
last_seen,
|
|
|
|
CASE
|
2018-04-09 12:50:36 -04:00
|
|
|
WHEN user_agent LIKE '%%Android%%' THEN 'android'
|
|
|
|
WHEN user_agent LIKE '%%iOS%%' THEN 'ios'
|
|
|
|
WHEN user_agent LIKE '%%Electron%%' THEN 'electron'
|
|
|
|
WHEN user_agent LIKE '%%Mozilla%%' THEN 'web'
|
|
|
|
WHEN user_agent LIKE '%%Gecko%%' THEN 'web'
|
2018-03-29 11:45:34 -04:00
|
|
|
ELSE 'unknown'
|
|
|
|
END
|
|
|
|
AS platform
|
|
|
|
FROM user_ips
|
|
|
|
) uip
|
|
|
|
ON users.name = uip.user_id
|
|
|
|
AND users.appservice_id is NULL
|
|
|
|
AND users.creation_ts < ?
|
|
|
|
AND uip.last_seen/1000 > ?
|
|
|
|
AND (uip.last_seen/1000) - users.creation_ts > 86400 * 30
|
|
|
|
GROUP BY users.name, platform, users.creation_ts
|
|
|
|
) u GROUP BY platform
|
|
|
|
"""
|
|
|
|
|
|
|
|
results = {}
|
2019-04-03 05:07:29 -04:00
|
|
|
txn.execute(sql, (thirty_days_ago_in_secs, thirty_days_ago_in_secs))
|
2018-04-05 07:16:46 -04:00
|
|
|
|
|
|
|
for row in txn:
|
2019-06-20 05:32:02 -04:00
|
|
|
if row[0] == "unknown":
|
2018-03-29 11:45:34 -04:00
|
|
|
pass
|
|
|
|
results[row[0]] = row[1]
|
2018-03-28 09:36:53 -04:00
|
|
|
|
2018-03-28 05:39:13 -04:00
|
|
|
sql = """
|
|
|
|
SELECT COALESCE(count(*), 0) FROM (
|
2018-03-29 12:27:39 -04:00
|
|
|
SELECT users.name, users.creation_ts * 1000,
|
|
|
|
MAX(uip.last_seen)
|
2018-03-29 11:45:34 -04:00
|
|
|
FROM users
|
|
|
|
INNER JOIN (
|
|
|
|
SELECT
|
|
|
|
user_id,
|
|
|
|
last_seen
|
|
|
|
FROM user_ips
|
|
|
|
) uip
|
|
|
|
ON users.name = uip.user_id
|
2018-03-28 05:39:13 -04:00
|
|
|
AND appservice_id is NULL
|
|
|
|
AND users.creation_ts < ?
|
2018-03-29 11:45:34 -04:00
|
|
|
AND uip.last_seen/1000 > ?
|
|
|
|
AND (uip.last_seen/1000) - users.creation_ts > 86400 * 30
|
|
|
|
GROUP BY users.name, users.creation_ts
|
|
|
|
) u
|
2018-03-28 05:39:13 -04:00
|
|
|
"""
|
|
|
|
|
2019-04-03 05:07:29 -04:00
|
|
|
txn.execute(sql, (thirty_days_ago_in_secs, thirty_days_ago_in_secs))
|
2018-03-29 11:45:34 -04:00
|
|
|
|
|
|
|
count, = txn.fetchone()
|
2019-06-20 05:32:02 -04:00
|
|
|
results["all"] = count
|
2018-03-28 09:36:53 -04:00
|
|
|
|
|
|
|
return results
|
2018-03-28 05:39:13 -04:00
|
|
|
|
2018-03-28 11:25:53 -04:00
|
|
|
return self.runInteraction("count_r30_users", _count_r30_users)
|
2018-03-28 05:39:13 -04:00
|
|
|
|
2018-05-15 12:01:33 -04:00
|
|
|
def _get_start_of_day(self):
|
|
|
|
"""
|
|
|
|
Returns millisecond unixtime for start of UTC day.
|
|
|
|
"""
|
2018-12-05 12:52:42 -05:00
|
|
|
now = time.gmtime()
|
2019-04-03 05:07:29 -04:00
|
|
|
today_start = calendar.timegm((now.tm_year, now.tm_mon, now.tm_mday, 0, 0, 0))
|
2018-12-05 12:52:42 -05:00
|
|
|
return today_start * 1000
|
2018-05-15 12:01:33 -04:00
|
|
|
|
2018-04-25 12:37:29 -04:00
|
|
|
def generate_user_daily_visits(self):
|
|
|
|
"""
|
|
|
|
Generates daily visit data for use in cohort/ retention analysis
|
|
|
|
"""
|
2019-04-03 05:07:29 -04:00
|
|
|
|
2018-04-25 12:37:29 -04:00
|
|
|
def _generate_user_daily_visits(txn):
|
2018-05-15 12:01:33 -04:00
|
|
|
logger.info("Calling _generate_user_daily_visits")
|
|
|
|
today_start = self._get_start_of_day()
|
|
|
|
a_day_in_milliseconds = 24 * 60 * 60 * 1000
|
2018-05-16 04:46:43 -04:00
|
|
|
now = self.clock.time_msec()
|
2018-04-25 12:37:29 -04:00
|
|
|
|
|
|
|
sql = """
|
2018-05-14 08:50:58 -04:00
|
|
|
INSERT INTO user_daily_visits (user_id, device_id, timestamp)
|
2018-05-15 12:01:33 -04:00
|
|
|
SELECT u.user_id, u.device_id, ?
|
|
|
|
FROM user_ips AS u
|
|
|
|
LEFT JOIN (
|
|
|
|
SELECT user_id, device_id, timestamp FROM user_daily_visits
|
2018-05-18 10:51:21 -04:00
|
|
|
WHERE timestamp = ?
|
2018-05-15 12:01:33 -04:00
|
|
|
) udv
|
|
|
|
ON u.user_id = udv.user_id AND u.device_id=udv.device_id
|
2018-05-18 12:10:35 -04:00
|
|
|
INNER JOIN users ON users.name=u.user_id
|
|
|
|
WHERE last_seen > ? AND last_seen <= ?
|
|
|
|
AND udv.timestamp IS NULL AND users.is_guest=0
|
|
|
|
AND users.appservice_id IS NULL
|
|
|
|
GROUP BY u.user_id, u.device_id
|
2018-05-15 12:01:33 -04:00
|
|
|
"""
|
|
|
|
|
|
|
|
# This means that the day has rolled over but there could still
|
|
|
|
# be entries from the previous day. There is an edge case
|
|
|
|
# where if the user logs in at 23:59 and overwrites their
|
|
|
|
# last_seen at 00:01 then they will not be counted in the
|
|
|
|
# previous day's stats - it is important that the query is run
|
2018-05-16 04:46:43 -04:00
|
|
|
# often to minimise this case.
|
2018-05-15 12:01:33 -04:00
|
|
|
if today_start > self._last_user_visit_update:
|
|
|
|
yesterday_start = today_start - a_day_in_milliseconds
|
2019-04-03 05:07:29 -04:00
|
|
|
txn.execute(
|
|
|
|
sql,
|
|
|
|
(
|
|
|
|
yesterday_start,
|
|
|
|
yesterday_start,
|
|
|
|
self._last_user_visit_update,
|
|
|
|
today_start,
|
|
|
|
),
|
|
|
|
)
|
2018-05-15 12:01:33 -04:00
|
|
|
self._last_user_visit_update = today_start
|
|
|
|
|
2019-04-03 05:07:29 -04:00
|
|
|
txn.execute(
|
|
|
|
sql, (today_start, today_start, self._last_user_visit_update, now)
|
|
|
|
)
|
2018-05-15 12:01:33 -04:00
|
|
|
# Update _last_user_visit_update to now. The reason to do this
|
|
|
|
# rather just clamping to the beginning of the day is to limit
|
|
|
|
# the size of the join - meaning that the query can be run more
|
|
|
|
# frequently
|
2018-05-16 04:46:43 -04:00
|
|
|
self._last_user_visit_update = now
|
2018-04-25 12:37:29 -04:00
|
|
|
|
2019-04-03 05:07:29 -04:00
|
|
|
return self.runInteraction(
|
|
|
|
"generate_user_daily_visits", _generate_user_daily_visits
|
|
|
|
)
|
2018-04-25 12:37:29 -04:00
|
|
|
|
2017-02-02 08:02:26 -05:00
|
|
|
def get_users(self):
|
|
|
|
"""Function to reterive a list of users in users table.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
Returns:
|
|
|
|
defer.Deferred: resolves to list[dict[str, Any]]
|
|
|
|
"""
|
|
|
|
return self._simple_select_list(
|
|
|
|
table="users",
|
|
|
|
keyvalues={},
|
2019-07-22 08:21:19 -04:00
|
|
|
retcols=["name", "password_hash", "is_guest", "admin", "user_type"],
|
2017-02-02 08:02:26 -05:00
|
|
|
desc="get_users",
|
|
|
|
)
|
|
|
|
|
2019-04-04 09:21:16 -04:00
|
|
|
@defer.inlineCallbacks
|
2017-02-02 08:02:26 -05:00
|
|
|
def get_users_paginate(self, order, start, limit):
|
|
|
|
"""Function to reterive a paginated list of users from
|
|
|
|
users list. This will return a json object, which contains
|
|
|
|
list of users and the total number of users in users table.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
order (str): column name to order the select by this column
|
|
|
|
start (int): start number to begin the query from
|
|
|
|
limit (int): number of rows to reterive
|
|
|
|
Returns:
|
|
|
|
defer.Deferred: resolves to json object {list[dict[str, Any]], count}
|
|
|
|
"""
|
2019-04-04 09:21:16 -04:00
|
|
|
users = yield self.runInteraction(
|
|
|
|
"get_users_paginate",
|
|
|
|
self._simple_select_list_paginate_txn,
|
2017-02-02 08:02:26 -05:00
|
|
|
table="users",
|
2019-04-04 09:21:16 -04:00
|
|
|
keyvalues={"is_guest": False},
|
|
|
|
orderby=order,
|
|
|
|
start=start,
|
|
|
|
limit=limit,
|
2019-07-22 08:21:19 -04:00
|
|
|
retcols=["name", "password_hash", "is_guest", "admin", "user_type"],
|
2017-02-02 08:02:26 -05:00
|
|
|
)
|
2019-04-04 09:21:16 -04:00
|
|
|
count = yield self.runInteraction("get_users_paginate", self.get_user_count_txn)
|
|
|
|
retval = {"users": users, "total": count}
|
2019-07-23 09:00:55 -04:00
|
|
|
return retval
|
2017-02-02 08:02:26 -05:00
|
|
|
|
|
|
|
def search_users(self, term):
|
|
|
|
"""Function to search users list for one or more users with
|
|
|
|
the matched term.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
term (str): search term
|
|
|
|
col (str): column to query term should be matched to
|
|
|
|
Returns:
|
|
|
|
defer.Deferred: resolves to list[dict[str, Any]]
|
|
|
|
"""
|
|
|
|
return self._simple_search_list(
|
|
|
|
table="users",
|
|
|
|
term=term,
|
|
|
|
col="name",
|
2019-07-22 08:21:19 -04:00
|
|
|
retcols=["name", "password_hash", "is_guest", "admin", "user_type"],
|
2017-02-02 08:02:26 -05:00
|
|
|
desc="search_users",
|
|
|
|
)
|
|
|
|
|
2014-08-22 12:00:10 -04:00
|
|
|
|
2015-04-28 08:39:42 -04:00
|
|
|
def are_all_users_on_domain(txn, database_engine, domain):
|
|
|
|
sql = database_engine.convert_param_style(
|
|
|
|
"SELECT COUNT(*) FROM users WHERE name NOT LIKE ?"
|
|
|
|
)
|
2015-04-27 06:46:00 -04:00
|
|
|
pat = "%:" + domain
|
2015-04-28 08:39:42 -04:00
|
|
|
txn.execute(sql, (pat,))
|
|
|
|
num_not_matching = txn.fetchall()[0][0]
|
2015-04-27 06:46:00 -04:00
|
|
|
if num_not_matching == 0:
|
|
|
|
return True
|
2015-04-27 06:49:18 -04:00
|
|
|
return False
|