diff --git a/synapse/storage/databases/main/metrics.py b/synapse/storage/databases/main/metrics.py
index 92099f95ce..2c5a4fdbf6 100644
--- a/synapse/storage/databases/main/metrics.py
+++ b/synapse/storage/databases/main/metrics.py
@@ -12,6 +12,10 @@
# 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 typing import Dict
from synapse.metrics import GaugeBucketCollector
from synapse.metrics.background_process_metrics import run_as_background_process
@@ -21,6 +25,8 @@ from synapse.storage.databases.main.event_push_actions import (
EventPushActionsWorkerStore,
)
+logger = logging.getLogger(__name__)
+
# Collect metrics on the number of forward extremities that exist.
_extremities_collecter = GaugeBucketCollector(
"synapse_forward_extremities",
@@ -60,6 +66,9 @@ class ServerMetricsStore(EventPushActionsWorkerStore, SQLBaseStore):
hs.get_clock().looping_call(read_forward_extremities, 60 * 60 * 1000)
+ # Used in _generate_user_daily_visits to keep track of progress
+ self._last_user_visit_update = self._get_start_of_day()
+
async def _read_forward_extremities(self):
def fetch(txn):
txn.execute(
@@ -137,3 +146,189 @@ class ServerMetricsStore(EventPushActionsWorkerStore, SQLBaseStore):
return count
return await self.db_pool.runInteraction("count_daily_active_rooms", _count)
+
+ async def count_daily_users(self) -> int:
+ """
+ Counts the number of users who used this homeserver in the last 24 hours.
+ """
+ yesterday = int(self._clock.time_msec()) - (1000 * 60 * 60 * 24)
+ return await self.db_pool.runInteraction(
+ "count_daily_users", self._count_users, yesterday
+ )
+
+ async def count_monthly_users(self) -> int:
+ """
+ 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 await self.db_pool.runInteraction(
+ "count_monthly_users", self._count_users, thirty_days_ago
+ )
+
+ 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
+
+ async def count_r30_users(self) -> Dict[str, int]:
+ """
+ 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:
+ A mapping of counts globally as well as broken out 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 await self.db_pool.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
+
+ async def generate_user_daily_visits(self) -> None:
+ """
+ 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
+
+ await self.db_pool.runInteraction(
+ "generate_user_daily_visits", _generate_user_daily_visits
+ )
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