instead of inserting user daily visit data at the end of the day, instead insert incrementally through the day
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@ -17,6 +17,7 @@ import gc
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import logging
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import os
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import sys
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import datetime
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import synapse
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import synapse.config.logger
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@ -475,9 +476,24 @@ def run(hs):
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" changes across releases."
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)
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# def recurring_user_daily_visit_stats():
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def generate_user_daily_visit_stats():
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hs.get_datastore().generate_user_daily_visits()
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# Since user daily stats are bucketed at midnight UTC,
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# and user_ips.last_seen can be updated at any time, it is important to call
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# generate_user_daily_visit_stats immediately prior to the day end. Assuming
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# an hourly cadence, the simplist way is to allign all calls to the hour
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# end
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end_of_hour = datetime.datetime.now().replace(microsecond=0, second=0, minute=0) \
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+ datetime.timedelta(hours=1) \
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- datetime.timedelta(seconds=10) # Ensure method fires before day transistion
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time_to_next_hour = end_of_hour - datetime.datetime.now()
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clock.call_later(time_to_next_hour.seconds,
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clock.looping_call(generate_user_daily_visit_stats, 60 * 60 * 1000))
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if hs.config.report_stats:
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logger.info("Scheduling stats reporting for 3 hour intervals")
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clock.looping_call(phone_stats_home, 3 * 60 * 60 * 1000)
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@ -490,9 +506,6 @@ def run(hs):
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# be quite busy the first few minutes
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clock.call_later(5 * 60, phone_stats_home)
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clock.looping_call(generate_user_daily_visit_stats, 10 * 60 * 1000)
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clock.call_later(5 * 60, generate_user_daily_visit_stats)
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if hs.config.daemonize and hs.config.print_pidfile:
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print (hs.config.pid_file)
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@ -353,48 +353,22 @@ class DataStore(RoomMemberStore, RoomStore,
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Generates daily visit data for use in cohort/ retention analysis
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"""
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def _generate_user_daily_visits(txn):
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logger.info("Calling _generate_user_daily_visits")
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# determine timestamp of previous days
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yesterday = datetime.datetime.utcnow() - datetime.timedelta(days=1)
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yesterday_start = datetime.datetime(yesterday.year, yesterday.month,
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yesterday.day, tzinfo=tz.tzutc())
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yesterday_start_time = int(time.mktime(yesterday_start.timetuple())) * 1000
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# Check that this job has not already been completed
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# determine timestamp of the day start
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now = datetime.datetime.utcnow()
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today_start = datetime.datetime(now.year, now.month,
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now.day, tzinfo=tz.tzutc())
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today_start_time = int(time.mktime(today_start.timetuple())) * 1000
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logger.info(today_start_time)
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sql = """
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SELECT timestamp
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FROM user_daily_visits
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ORDER by timestamp desc limit 1
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"""
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txn.execute(sql)
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row = txn.fetchone()
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# Bail if the most recent time is yesterday
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if row and row[0] == yesterday_start_time:
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return
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# Not specificying an upper bound means that if the update is run at
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# 10 mins past midnight and the user is active during a 30 min session
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# that the user is still included in the previous days stats
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# This does mean that if the update is run hours late, then it is possible
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# to overstate the cohort, but this seems a reasonable trade off
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# The alternative is to insert on every request - but prefer to avoid
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# for performance reasons
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sql = """
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SELECT user_id, device_id
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FROM user_ips
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WHERE last_seen > ?
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"""
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txn.execute(sql, (yesterday_start_time,))
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user_visits = txn.fetchall()
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sql = """
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INSERT INTO user_daily_visits (user_id, device_id, timestamp)
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VALUES (?, ?, ?)
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"""
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for visit in user_visits:
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txn.execute(sql, (visit + (yesterday_start_time,)))
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INSERT INTO user_daily_visits (user_id, device_id, timestamp)
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SELECT user_id, device_id, ?
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FROM user_ips AS u
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LEFT JOIN user_daily_visits USING (user_id, device_id)
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WHERE last_seen > ? AND timestamp IS NULL
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GROUP BY user_id, device_id;
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"""
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txn.execute(sql, (today_start_time, today_start_time))
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return self.runInteraction("generate_user_daily_visits",
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_generate_user_daily_visits)
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