403 lines
		
	
	
		
			14 KiB
		
	
	
	
		
			Python
		
	
	
			
		
		
	
	
			403 lines
		
	
	
		
			14 KiB
		
	
	
	
		
			Python
		
	
	
# -*- coding: utf-8 -*-
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# Copyright 2016 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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import logging
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from six import iteritems
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from twisted.internet import defer
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from synapse.metrics.background_process_metrics import run_as_background_process
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from synapse.util.caches import CACHE_SIZE_FACTOR
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from . import background_updates
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from ._base import Cache
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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 ClientIpStore(background_updates.BackgroundUpdateStore):
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    def __init__(self, db_conn, hs):
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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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            max_entries=50000 * CACHE_SIZE_FACTOR,
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        )
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        super(ClientIpStore, self).__init__(db_conn, hs)
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        self.register_background_index_update(
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            "user_ips_device_index",
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            index_name="user_ips_device_id",
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            table="user_ips",
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            columns=["user_id", "device_id", "last_seen"],
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        )
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        self.register_background_index_update(
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            "user_ips_last_seen_index",
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            index_name="user_ips_last_seen",
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            table="user_ips",
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            columns=["user_id", "last_seen"],
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        )
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        self.register_background_index_update(
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            "user_ips_last_seen_only_index",
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            index_name="user_ips_last_seen_only",
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            table="user_ips",
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            columns=["last_seen"],
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        )
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        self.register_background_update_handler(
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            "user_ips_remove_dupes",
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            self._remove_user_ip_dupes,
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        )
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        # Register a unique index
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        self.register_background_index_update(
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            "user_ips_device_unique_index",
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            index_name="user_ips_user_token_ip_unique_index",
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            table="user_ips",
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            columns=["user_id", "access_token", "ip"],
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            unique=True,
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        )
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        # Drop the old non-unique index
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        self.register_background_update_handler(
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            "user_ips_drop_nonunique_index",
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            self._remove_user_ip_nonunique,
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        )
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        # (user_id, access_token, ip,) -> (user_agent, device_id, last_seen)
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        self._batch_row_update = {}
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        self._client_ip_looper = self._clock.looping_call(
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            self._update_client_ips_batch, 5 * 1000
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        )
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        self.hs.get_reactor().addSystemEventTrigger(
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            "before", "shutdown", self._update_client_ips_batch
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        )
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    @defer.inlineCallbacks
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    def _remove_user_ip_nonunique(self, progress, batch_size):
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        def f(conn):
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            txn = conn.cursor()
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            txn.execute(
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                "DROP INDEX IF EXISTS user_ips_user_ip"
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            )
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            txn.close()
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        yield self.runWithConnection(f)
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        yield self._end_background_update("user_ips_drop_nonunique_index")
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        defer.returnValue(1)
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    @defer.inlineCallbacks
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    def _remove_user_ip_dupes(self, progress, batch_size):
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        # This works function works by scanning the user_ips table in batches
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        # based on `last_seen`. For each row in a batch it searches the rest of
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        # the table to see if there are any duplicates, if there are then they
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        # are removed and replaced with a suitable row.
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        # Fetch the start of the batch
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        begin_last_seen = progress.get("last_seen", 0)
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        def get_last_seen(txn):
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            txn.execute(
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                """
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                SELECT last_seen FROM user_ips
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                WHERE last_seen > ?
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                ORDER BY last_seen
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                LIMIT 1
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                OFFSET ?
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                """,
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                (begin_last_seen, batch_size)
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            )
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            row = txn.fetchone()
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            if row:
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                return row[0]
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            else:
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                return None
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        # Get a last seen that has roughly `batch_size` since `begin_last_seen`
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        end_last_seen = yield self.runInteraction(
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            "user_ips_dups_get_last_seen", get_last_seen
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        )
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        # If it returns None, then we're processing the last batch
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        last = end_last_seen is None
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        logger.info(
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            "Scanning for duplicate 'user_ips' rows in range: %s <= last_seen < %s",
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            begin_last_seen, end_last_seen,
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        )
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        def remove(txn):
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            # This works by looking at all entries in the given time span, and
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            # then for each (user_id, access_token, ip) tuple in that range
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            # checking for any duplicates in the rest of the table (via a join).
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            # It then only returns entries which have duplicates, and the max
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            # last_seen across all duplicates, which can the be used to delete
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            # all other duplicates.
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            # It is efficient due to the existence of (user_id, access_token,
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            # ip) and (last_seen) indices.
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            # Define the search space, which requires handling the last batch in
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            # a different way
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            if last:
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                clause = "? <= last_seen"
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                args = (begin_last_seen,)
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            else:
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                clause = "? <= last_seen AND last_seen < ?"
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                args = (begin_last_seen, end_last_seen)
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            txn.execute(
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                """
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                SELECT user_id, access_token, ip,
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                       MAX(device_id), MAX(user_agent), MAX(last_seen)
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                FROM (
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                    SELECT user_id, access_token, ip
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                    FROM user_ips
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                    WHERE {}
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                ) c
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                INNER JOIN user_ips USING (user_id, access_token, ip)
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                GROUP BY user_id, access_token, ip
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                HAVING count(*) > 1
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                """.format(clause),
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                args
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            )
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            res = txn.fetchall()
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            # We've got some duplicates
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            for i in res:
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                user_id, access_token, ip, device_id, user_agent, last_seen = i
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                # Drop all the duplicates
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                txn.execute(
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                    """
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                    DELETE FROM user_ips
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                    WHERE user_id = ? AND access_token = ? AND ip = ?
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                    """,
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                    (user_id, access_token, ip)
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                )
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                # Add in one to be the last_seen
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                txn.execute(
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                    """
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                    INSERT INTO user_ips
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                    (user_id, access_token, ip, device_id, user_agent, last_seen)
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                    VALUES (?, ?, ?, ?, ?, ?)
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                    """,
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                    (user_id, access_token, ip, device_id, user_agent, last_seen)
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                )
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            self._background_update_progress_txn(
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                txn, "user_ips_remove_dupes", {"last_seen": end_last_seen}
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            )
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        yield self.runInteraction("user_ips_dups_remove", remove)
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        if last:
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            yield self._end_background_update("user_ips_remove_dupes")
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        defer.returnValue(batch_size)
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    @defer.inlineCallbacks
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    def insert_client_ip(self, user_id, access_token, ip, user_agent, device_id,
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                         now=None):
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        if not now:
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            now = int(self._clock.time_msec())
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        key = (user_id, 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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        yield self.populate_monthly_active_users(user_id)
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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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            return
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        self.client_ip_last_seen.prefill(key, now)
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        self._batch_row_update[key] = (user_agent, device_id, now)
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    def _update_client_ips_batch(self):
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        # If the DB pool has already terminated, don't try updating
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        if not self.hs.get_db_pool().running:
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            return
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        def update():
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            to_update = self._batch_row_update
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            self._batch_row_update = {}
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            return self.runInteraction(
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                "_update_client_ips_batch", self._update_client_ips_batch_txn,
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                to_update,
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            )
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        return run_as_background_process(
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            "update_client_ips", update,
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        )
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    def _update_client_ips_batch_txn(self, txn, to_update):
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        if "user_ips" in self._unsafe_to_upsert_tables or (
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            not self.database_engine.can_native_upsert
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        ):
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            self.database_engine.lock_table(txn, "user_ips")
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        for entry in iteritems(to_update):
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            (user_id, access_token, ip), (user_agent, device_id, last_seen) = entry
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            try:
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                self._simple_upsert_txn(
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                    txn,
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                    table="user_ips",
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                    keyvalues={
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                        "user_id": user_id,
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                        "access_token": access_token,
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                        "ip": ip,
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                    },
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                    values={
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                        "user_agent": user_agent,
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                        "device_id": device_id,
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                        "last_seen": last_seen,
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                    },
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                    lock=False,
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                )
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            except Exception as e:
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                # Failed to upsert, log and continue
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                logger.error("Failed to insert client IP %r: %r", entry, e)
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    @defer.inlineCallbacks
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    def get_last_client_ip_by_device(self, user_id, device_id):
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        """For each device_id listed, give the user_ip it was last seen on
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        Args:
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            user_id (str)
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            device_id (str): If None fetches all devices for the user
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        Returns:
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            defer.Deferred: resolves to a dict, where the keys
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            are (user_id, device_id) tuples. The values are also dicts, with
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            keys giving the column names
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        """
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        res = yield self.runInteraction(
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            "get_last_client_ip_by_device",
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            self._get_last_client_ip_by_device_txn,
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            user_id, device_id,
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            retcols=(
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                "user_id",
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                "access_token",
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                "ip",
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                "user_agent",
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                "device_id",
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                "last_seen",
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            ),
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        )
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        ret = {(d["user_id"], d["device_id"]): d for d in res}
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        for key in self._batch_row_update:
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            uid, access_token, ip = key
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            if uid == user_id:
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                user_agent, did, last_seen = self._batch_row_update[key]
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                if not device_id or did == device_id:
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                    ret[(user_id, device_id)] = {
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                        "user_id": user_id,
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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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                        "device_id": did,
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                        "last_seen": last_seen,
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                    }
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        defer.returnValue(ret)
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    @classmethod
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    def _get_last_client_ip_by_device_txn(cls, txn, user_id, device_id, retcols):
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        where_clauses = []
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        bindings = []
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        if device_id is None:
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            where_clauses.append("user_id = ?")
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            bindings.extend((user_id, ))
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        else:
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            where_clauses.append("(user_id = ? AND device_id = ?)")
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            bindings.extend((user_id, device_id))
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        if not where_clauses:
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            return []
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        inner_select = (
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            "SELECT MAX(last_seen) mls, user_id, device_id FROM user_ips "
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            "WHERE %(where)s "
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            "GROUP BY user_id, device_id"
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        ) % {
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            "where": " OR ".join(where_clauses),
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        }
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        sql = (
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            "SELECT %(retcols)s FROM user_ips "
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            "JOIN (%(inner_select)s) ips ON"
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            "    user_ips.last_seen = ips.mls AND"
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            "    user_ips.user_id = ips.user_id AND"
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            "    (user_ips.device_id = ips.device_id OR"
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            "         (user_ips.device_id IS NULL AND ips.device_id IS NULL)"
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            "    )"
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        ) % {
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            "retcols": ",".join("user_ips." + c for c in retcols),
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            "inner_select": inner_select,
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        }
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        txn.execute(sql, bindings)
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        return cls.cursor_to_dict(txn)
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    @defer.inlineCallbacks
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    def get_user_ip_and_agents(self, user):
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        user_id = user.to_string()
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        results = {}
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        for key in self._batch_row_update:
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            uid, access_token, ip, = key
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            if uid == user_id:
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                user_agent, _, last_seen = self._batch_row_update[key]
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                results[(access_token, ip)] = (user_agent, last_seen)
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        rows = yield self._simple_select_list(
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            table="user_ips",
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            keyvalues={"user_id": user_id},
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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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        results.update(
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            ((row["access_token"], row["ip"]), (row["user_agent"], row["last_seen"]))
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            for row in rows
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        )
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        defer.returnValue(list(
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            {
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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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                "last_seen": last_seen,
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            }
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            for (access_token, ip), (user_agent, last_seen) in iteritems(results)
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        ))
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