MatrixSynapse/synapse/storage/__init__.py

# -*- coding: utf-8 -*-
# Copyright 2014-2016 OpenMarket Ltd
# 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.

import calendar
import logging
import time

from twisted.internet import defer

from synapse.api.constants import PresenceState
from synapse.storage.devices import DeviceStore
from synapse.storage.user_erasure_store import UserErasureStore
from synapse.util.caches.stream_change_cache import StreamChangeCache

from .account_data import AccountDataStore
from .appservice import ApplicationServiceStore, ApplicationServiceTransactionStore
from .client_ips import ClientIpStore
from .deviceinbox import DeviceInboxStore
from .directory import DirectoryStore
from .e2e_room_keys import EndToEndRoomKeyStore
from .end_to_end_keys import EndToEndKeyStore
from .engines import PostgresEngine
from .event_federation import EventFederationStore
from .event_push_actions import EventPushActionsStore
from .events import EventsStore
from .events_bg_updates import EventsBackgroundUpdatesStore
from .filtering import FilteringStore
from .group_server import GroupServerStore
from .keys import KeyStore
from .media_repository import MediaRepositoryStore
from .monthly_active_users import MonthlyActiveUsersStore
from .openid import OpenIdStore
from .presence import PresenceStore, UserPresenceState
from .profile import ProfileStore
from .push_rule import PushRuleStore
from .pusher import PusherStore
from .receipts import ReceiptsStore
from .registration import RegistrationStore
from .rejections import RejectionsStore
from .relations import RelationsStore
from .room import RoomStore
from .roommember import RoomMemberStore
from .search import SearchStore
from .signatures import SignatureStore
from .state import StateStore
from .stats import StatsStore
from .stream import StreamStore
from .tags import TagsStore
from .transactions import TransactionStore
from .user_directory import UserDirectoryStore
from .util.id_generators import ChainedIdGenerator, IdGenerator, StreamIdGenerator

logger = logging.getLogger(__name__)


class DataStore(
    EventsBackgroundUpdatesStore,
    RoomMemberStore,
    RoomStore,
    RegistrationStore,
    StreamStore,
    ProfileStore,
    PresenceStore,
    TransactionStore,
    DirectoryStore,
    KeyStore,
    StateStore,
    SignatureStore,
    ApplicationServiceStore,
    EventsStore,
    EventFederationStore,
    MediaRepositoryStore,
    RejectionsStore,
    FilteringStore,
    PusherStore,
    PushRuleStore,
    ApplicationServiceTransactionStore,
    ReceiptsStore,
    EndToEndKeyStore,
    EndToEndRoomKeyStore,
    SearchStore,
    TagsStore,
    AccountDataStore,
    EventPushActionsStore,
    OpenIdStore,
    ClientIpStore,
    DeviceStore,
    DeviceInboxStore,
    UserDirectoryStore,
    GroupServerStore,
    UserErasureStore,
    MonthlyActiveUsersStore,
    StatsStore,
    RelationsStore,
):
    def __init__(self, db_conn, hs):
        self.hs = hs
        self._clock = hs.get_clock()
        self.database_engine = hs.database_engine

        self._stream_id_gen = StreamIdGenerator(
            db_conn,
            "events",
            "stream_ordering",
            extra_tables=[("local_invites", "stream_id")],
        )
        self._backfill_id_gen = StreamIdGenerator(
            db_conn,
            "events",
            "stream_ordering",
            step=-1,
            extra_tables=[("ex_outlier_stream", "event_stream_ordering")],
        )
        self._presence_id_gen = StreamIdGenerator(
            db_conn, "presence_stream", "stream_id"
        )
        self._device_inbox_id_gen = StreamIdGenerator(
            db_conn, "device_max_stream_id", "stream_id"
        )
        self._public_room_id_gen = StreamIdGenerator(
            db_conn, "public_room_list_stream", "stream_id"
        )
        self._device_list_id_gen = StreamIdGenerator(
            db_conn, "device_lists_stream", "stream_id"
        )

        self._access_tokens_id_gen = IdGenerator(db_conn, "access_tokens", "id")
        self._event_reports_id_gen = IdGenerator(db_conn, "event_reports", "id")
        self._push_rule_id_gen = IdGenerator(db_conn, "push_rules", "id")
        self._push_rules_enable_id_gen = IdGenerator(db_conn, "push_rules_enable", "id")
        self._push_rules_stream_id_gen = ChainedIdGenerator(
            self._stream_id_gen, db_conn, "push_rules_stream", "stream_id"
        )
        self._pushers_id_gen = StreamIdGenerator(
            db_conn, "pushers", "id", extra_tables=[("deleted_pushers", "stream_id")]
        )
        self._group_updates_id_gen = StreamIdGenerator(
            db_conn, "local_group_updates", "stream_id"
        )

        if isinstance(self.database_engine, PostgresEngine):
            self._cache_id_gen = StreamIdGenerator(
                db_conn, "cache_invalidation_stream", "stream_id"
            )
        else:
            self._cache_id_gen = None

        self._presence_on_startup = self._get_active_presence(db_conn)

        presence_cache_prefill, min_presence_val = self._get_cache_dict(
            db_conn,
            "presence_stream",
            entity_column="user_id",
            stream_column="stream_id",
            max_value=self._presence_id_gen.get_current_token(),
        )
        self.presence_stream_cache = StreamChangeCache(
            "PresenceStreamChangeCache",
            min_presence_val,
            prefilled_cache=presence_cache_prefill,
        )

        max_device_inbox_id = self._device_inbox_id_gen.get_current_token()
        device_inbox_prefill, min_device_inbox_id = self._get_cache_dict(
            db_conn,
            "device_inbox",
            entity_column="user_id",
            stream_column="stream_id",
            max_value=max_device_inbox_id,
            limit=1000,
        )
        self._device_inbox_stream_cache = StreamChangeCache(
            "DeviceInboxStreamChangeCache",
            min_device_inbox_id,
            prefilled_cache=device_inbox_prefill,
        )
        # The federation outbox and the local device inbox uses the same
        # stream_id generator.
        device_outbox_prefill, min_device_outbox_id = self._get_cache_dict(
            db_conn,
            "device_federation_outbox",
            entity_column="destination",
            stream_column="stream_id",
            max_value=max_device_inbox_id,
            limit=1000,
        )
        self._device_federation_outbox_stream_cache = StreamChangeCache(
            "DeviceFederationOutboxStreamChangeCache",
            min_device_outbox_id,
            prefilled_cache=device_outbox_prefill,
        )

        device_list_max = self._device_list_id_gen.get_current_token()
        self._device_list_stream_cache = StreamChangeCache(
            "DeviceListStreamChangeCache", device_list_max
        )
        self._device_list_federation_stream_cache = StreamChangeCache(
            "DeviceListFederationStreamChangeCache", device_list_max
        )

        events_max = self._stream_id_gen.get_current_token()
        curr_state_delta_prefill, min_curr_state_delta_id = self._get_cache_dict(
            db_conn,
            "current_state_delta_stream",
            entity_column="room_id",
            stream_column="stream_id",
            max_value=events_max,  # As we share the stream id with events token
            limit=1000,
        )
        self._curr_state_delta_stream_cache = StreamChangeCache(
            "_curr_state_delta_stream_cache",
            min_curr_state_delta_id,
            prefilled_cache=curr_state_delta_prefill,
        )

        _group_updates_prefill, min_group_updates_id = self._get_cache_dict(
            db_conn,
            "local_group_updates",
            entity_column="user_id",
            stream_column="stream_id",
            max_value=self._group_updates_id_gen.get_current_token(),
            limit=1000,
        )
        self._group_updates_stream_cache = StreamChangeCache(
            "_group_updates_stream_cache",
            min_group_updates_id,
            prefilled_cache=_group_updates_prefill,
        )

        self._stream_order_on_start = self.get_room_max_stream_ordering()
        self._min_stream_order_on_start = self.get_room_min_stream_ordering()

        # Used in _generate_user_daily_visits to keep track of progress
        self._last_user_visit_update = self._get_start_of_day()

        super(DataStore, self).__init__(db_conn, hs)

    def take_presence_startup_info(self):
        active_on_startup = self._presence_on_startup
        self._presence_on_startup = None
        return active_on_startup

    def _get_active_presence(self, db_conn):
        """Fetch non-offline presence from the database so that we can register
        the appropriate time outs.
        """

        sql = (
            "SELECT user_id, state, last_active_ts, last_federation_update_ts,"
            " last_user_sync_ts, status_msg, currently_active FROM presence_stream"
            " WHERE state != ?"
        )
        sql = self.database_engine.convert_param_style(sql)

        txn = db_conn.cursor()
        txn.execute(sql, (PresenceState.OFFLINE,))
        rows = self.cursor_to_dict(txn)
        txn.close()

        for row in rows:
            row["currently_active"] = bool(row["currently_active"])

        return [UserPresenceState(**row) for row in rows]

    def count_daily_users(self):
        """
        Counts the number of users who used this homeserver in the last 24 hours.
        """

        def _count_users(txn):
            yesterday = int(self._clock.time_msec()) - (1000 * 60 * 60 * 24)

            sql = """
                SELECT COALESCE(count(*), 0) FROM (
                    SELECT user_id FROM user_ips
                    WHERE last_seen > ?
                    GROUP BY user_id
                ) u
            """

            txn.execute(sql, (yesterday,))
            count, = txn.fetchone()
            return count

        return self.runInteraction("count_users", _count_users)

    def count_r30_users(self):
        """
        Counts the number of 30 day retained users, defined as:-
         * Users who have created their accounts more than 30 days ago
         * Where last seen at most 30 days ago
         * Where account creation and last_seen are > 30 days apart

         Returns counts globaly for a given user as well as breaking
         by platform
        """

        def _count_r30_users(txn):
            thirty_days_in_secs = 86400 * 30
            now = int(self._clock.time())
            thirty_days_ago_in_secs = now - thirty_days_in_secs

            sql = """
                SELECT platform, COALESCE(count(*), 0) FROM (
                     SELECT
                        users.name, platform, users.creation_ts * 1000,
                        MAX(uip.last_seen)
                     FROM users
                     INNER JOIN (
                         SELECT
                         user_id,
                         last_seen,
                         CASE
                             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'
                             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 = {}
            txn.execute(sql, (thirty_days_ago_in_secs, thirty_days_ago_in_secs))

            for row in txn:
                if row[0] == 'unknown':
                    pass
                results[row[0]] = row[1]

            sql = """
                SELECT COALESCE(count(*), 0) FROM (
                    SELECT users.name, users.creation_ts * 1000,
                                                        MAX(uip.last_seen)
                    FROM users
                    INNER JOIN (
                        SELECT
                        user_id,
                        last_seen
                        FROM user_ips
                    ) uip
                    ON users.name = uip.user_id
                    AND 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, users.creation_ts
                ) u
            """

            txn.execute(sql, (thirty_days_ago_in_secs, thirty_days_ago_in_secs))

            count, = txn.fetchone()
            results['all'] = count

            return results

        return self.runInteraction("count_r30_users", _count_r30_users)

    def _get_start_of_day(self):
        """
        Returns millisecond unixtime for start of UTC day.
        """
        now = time.gmtime()
        today_start = calendar.timegm((now.tm_year, now.tm_mon, now.tm_mday, 0, 0, 0))
        return today_start * 1000

    def generate_user_daily_visits(self):
        """
        Generates daily visit data for use in cohort/ retention analysis
        """

        def _generate_user_daily_visits(txn):
            logger.info("Calling _generate_user_daily_visits")
            today_start = self._get_start_of_day()
            a_day_in_milliseconds = 24 * 60 * 60 * 1000
            now = self.clock.time_msec()

            sql = """
                INSERT INTO user_daily_visits (user_id, device_id, timestamp)
                    SELECT u.user_id, u.device_id, ?
                    FROM user_ips AS u
                    LEFT JOIN (
                      SELECT user_id, device_id, timestamp FROM user_daily_visits
                      WHERE timestamp = ?
                    ) udv
                    ON u.user_id = udv.user_id AND u.device_id=udv.device_id
                    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
            """

            # 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
            # often to minimise this case.
            if today_start > self._last_user_visit_update:
                yesterday_start = today_start - a_day_in_milliseconds
                txn.execute(
                    sql,
                    (
                        yesterday_start,
                        yesterday_start,
                        self._last_user_visit_update,
                        today_start,
                    ),
                )
                self._last_user_visit_update = today_start

            txn.execute(
                sql, (today_start, today_start, self._last_user_visit_update, now)
            )
            # 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
            self._last_user_visit_update = now

        return self.runInteraction(
            "generate_user_daily_visits", _generate_user_daily_visits
        )

    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={},
            retcols=["name", "password_hash", "is_guest", "admin"],
            desc="get_users",
        )

    @defer.inlineCallbacks
    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}
        """
        users = yield self.runInteraction(
            "get_users_paginate",
            self._simple_select_list_paginate_txn,
            table="users",
            keyvalues={"is_guest": False},
            orderby=order,
            start=start,
            limit=limit,
            retcols=["name", "password_hash", "is_guest", "admin"],
        )
        count = yield self.runInteraction("get_users_paginate", self.get_user_count_txn)
        retval = {"users": users, "total": count}
        defer.returnValue(retval)

    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",
            retcols=["name", "password_hash", "is_guest", "admin"],
            desc="search_users",
        )


def are_all_users_on_domain(txn, database_engine, domain):
    sql = database_engine.convert_param_style(
        "SELECT COUNT(*) FROM users WHERE name NOT LIKE ?"
    )
    pat = "%:" + domain
    txn.execute(sql, (pat,))
    num_not_matching = txn.fetchall()[0][0]
    if num_not_matching == 0:
        return True
    return False